Annotation of imach/src/imach.exe, revision 1.6
1.1 lievre 1: MZ @ !&L!This program cannot be run in DOS mode.
1.6 ! brouard 2: $ PE L& > & &8 & & @ & @ ] .text & & `.data & & @ .bss & .idata & @ .stab & B.stabstr & B U$Sh,@ <& & E EP5A EPhA h A
! 3: & A t~H&B L&B t 5A P& P& L&B t 5A P& P& L&B @t 5A Pk& Pr& 7& 05A 5 A 4&
& Sd& UuX&B Ív UuP&B Ív UVSE11 = w= sO= t v = t9= t7tj j & &uj&j & MtLj >& j js& &uj&j_& t& t jл؍e[^ Uj&<&B 1ÐUj<&B Ð ERREUR ...
1.1 lievre 4: %s
1.6 ! brouard 5: allocation failure in vector allocation failure in ivector allocation failure 1 in matrix() allocation failure 2 in matrix() allocation failure 3 in matrix() v U<WVS}E )P&U U+UBUU +UBUP& ƃu@h0@ L&B @P& h@ h<@ L&B @Pg& j&J& ] ])ƃ P& u?h0@ L&B @P& h@ h<@ L&B @P& j&& PO&E)EMUBEU;M ET&A;M ~] Py& MuAh0@ L&B @Pk& h@ h<@ L&B @PP& j&3& v ]U)U;UM\&ˉ B;U~M;M P}}}D]}<<A&UE;U]|&߉<B;U~M;M ~e[^_]. Too many iterations in brent v ?|=ŋ!r?U VSEE$EEʋu ]E E UEuUUE&u]U]& $}UȃU]mEEE
@ ]@ ]hf@ }۽pe& L&B PD& hf@ A P~& A P & E emE
@ eۭpÈ@ EE& EeeeEeEuEE]
@ È@r)EtEÈ@sUtei]e]E&tE]E&uOEUEt0]+v UuEE]E
@ ]Eu
1.1 lievre 6: E%]E&u
v $}}փmmUÈ@s=u
1.6 ! brouard 7: Uv UE]EE]]]] E&uUUUÈ@rED@u E]E]]]Bv UÈ@r"EE@tED@u]]C h0@ L&B @P舿& hh@ h<@ L&B @Pm& j&P& ًE,X[E^]Éw?#B ; Y@#B #B ;U WVSEu ] } $E $E EEu!E E E EEE E
@ $E& E 'E ʋE Eu2@ A A Eu25@ 6@ A A Eu
! 8: 5@ E
@ Eu
EuT$}փmE&ulE ʋE#
@ 4È@s ك
@ $}փmEE E EE E1؍e[^_]Ðt& -C 6*?UlWVSu} 5 A S[& u@h0@ L&B @P^& h@@ h<@ L&B @PC& j&&& A S& u?h0@ L&B @P & h@@ h<@ L&B @P& j&ѻ& 0A ]E& 0A MЍE]E]E]E]ȍE؉]ĉE9!v ]A ס0A B9~E E E E ?hA EP]SEP]SEPQ$ ]ăh @ S $hA E $E $E $E& 09 EȐE B9~ء0A P螺& A P荺& e[^_]
1.1 lievre 9: Powell iter=%d -2*LL=%.12f %d %.12f
1.6 ! brouard 10: %d & powell exceeding maximum iterations. v U\WVSuE ]S& Eԃu@h0@ L&B @P& h@@ h<@ L&B @P& j&& Sù& EЃuAh0@ L&B @Pù& h@@ h<@ L&B @P訹& j&苹& v So& ǃu>h0@ L&B @Pp& h@@ h<@ L&B @PU& j&8& S & Ẽu}h0@ L&B @P & h@@ h<@ L&B @P& j&& v W軸& ẼP謸& UЃR蝸& MԃQ莸& m EPU$ҋM & 9v EM B9~E & U & UE E E $U Ph] @ & M & $U Ph] @ A P & 09 M $Shy @ C& 9~E $Shy @ & A PԷ& h @ 脷& h @ A P豷& E ]9 C&& E9M B9~E ]Sh @ %& L&B P& Sh @ A P=& A P߶& E$PU RVWMQvE E UEu]]؋]9NU EE]EMU : u>h0@ L&B @P蘶& h @ h<@ L&B @P}& j&`& & 9,v MEɋM B9~׃EPU$U]E& U EEEe A E@tEe A E@t MMUEuCU$RM QVWEP& 9!M M ȋM B9~E e[^_]É I@ (@U#@ & WVSE$]tA E EZv E & &Ѝy&9?v U 9u D ? D tA FU &9~ĉڋE &9~E E ? A 5#@ ݕpÈ@ U|M E& MUЋ5`A 9u] A ]=A }|A \v M}M,\} EEE9u~E&
dA 9M+ A |uFM u9~E& =0A }9} A |EU
A M A ]5A u}E]u,\ }A}4 A44UEE\ EM9M~] SE tA Pj&Pj&Pj&u V}& W`A P|P`A P۽`e& PU R& M] M 0ۭ`;u v ^&& ];M ɋ}EtA y&\}~} UD Mu苅\< A UA E&t A UA Et؋M;M [ A A E&t؋u;u ]E&u؋E" A 5#@ ܕp
؍8[^_]ÉU<WVS& };u F&& E9}cVЉUEHES&& EU;M-tA UH&E&E@UU @ A;M~E ؋]9|E]tA 9mVЉUEES&& EU;M-tA UH&E&E@UU @ A;M~E ؋E]tA 9~u;uU& BU;u F&& E9}'v $C}蠯& mЃ9|܋E]# $C}t& mЃEtA 9~& 9}' $4& C9|ۋE]'v $& ؋ECtA 9~ҋu;u
tA EUQE& &ȍJ&95v D C D ?EtA 9~ΉʋE
tA &9~e[^_]Ðt& (@U WVSE& ]tA E E & &Ѝs&9iv U(9u D ? D }9u @ ? @ tA AU &9~E &9uE& E 9E M& Al;U ]hv EE& HEEDu,E$uEE E ?EB5H*@ ]Ћ5`A p9u[=A }hA EA \M}M0\} EEE9u~E&
dA 9M+ A huFM u9~E& =0A |9} A hEU
A M A ]5A uv }E]u0\ }A}4 A44UEE\ E|9M~] Su V`A PhW`A PE] tA E& 9] v E& @x9iU& M, D G&t94UE, E(ULL F 9~t9~xM9s](u],u(p;UtA & Ev E & &Ѝs&9)v }}ȋEA E tA 9~ڋtA E &9~lUM 9(E[^_]Ðt& (@:0yE>U& & WVSE E ?pA 9U D A9~pA & Džx& Džh Džl Džd x;PA x& 5`A B97 A U A v xA9~Džt& xA H9tN Mv d&
tA C5pA ʉ1tC9 1& w&9u A 9u D ?v D A 9u D ? D pA CtA 9~ы&9f0A 1ۋtx; E A A pA txA A C|ۅ|5@.@ ʹ& ]5dA 9\ A `\A A v `AxM\\9~ЃpA PUR`A P Q`A PwX A T5 A P tA pA DžL& 9L L& @9zL& T D G&9>LT PX F 9~9~L9\Tp A A A A 0A tx;
pA txtA 4Dx A |ۅ| A ; pA ~!؋pA $'p ɡA $聥& dxA ݅hxtɋݝhpA ɋA tA H9x;=PA "0 Džx& Džh Džl Džd x;PA x& 5`A B97 A U A v xA9~Džt& xA H9tH Mv d&
tA C5pA ʉ1tC9 1& w&9u A 9u D ?v D A 9u D ? D pA CtA 9~ы&9f0A 1ۋtx; E A A pA txA A C|ۅ|5@.@ ʹ& ]5dA 9\ A HDA A v HAxMD\9~ЃpA PUR`A P Q`A PO@ A <5 A 8 tA pA Dž4& 94 4& @9z4& < D G&9>4< 8@ F 9~9~49\<p A A A A 0A tx;
pA txtA 4Dx A |A ۅ| A H.@ Eu p ؋p $Y& dxA ݅htݝhpA ɋA tA H9x;5PA (
! 11: v W Džx& Džh Džl Džd x;=PA x& 5`A @97A A Uv xA9~Džt& xA H9t Mv d&
tA C5pA ʉ1tC9 1& w&9u A 9u D ?v D A 9u D ? D pA CtA 9~ы&9f0A 1ۋtx; E A A pA txA A C|ۅ|5@.@ ʹ& ]5dA 9\ A 0,A A v 0AxM,\9~ЃpA PUR`A P Q`A P+( A $5 A tA pA Dž & 9 & @9z & $ D G&9> $ ( F 9~9~ 9\$p A A A A 0A tx;
pA txtA 4Dx A |A A ۅ| H.@ Euap $۽U& A $۽3& ۭۭ#p $& dxA ݅htݝhpA ɋA tA H9x;5PA Džx& Džh Džl Džd x;=PA q x& 5`A @97A A Uv xA9~Džt& xA H9t Mv d&
tA C5pA ʉ1tC9 1& w&9u A 9u D ?v D A 9u D ? D pA CtA 9~ы19g0A 1ۋtx; E v A A pA txA A C|ۅ|5@.@ ʹ& ]5dA 9\ A A A v AxM\9~ЃpA PUR`A P Q`A P A 5 A tA pA Dž& 9 & @9z& D G&9> F 9~9~9\ p A A A A 0A tx;
pA txtA x Dp $:& dA ݅hݝhpA ɋA tA H9-x; PA & pA 9
UA9~ۅdh[^_ܵh]Powell
! 12: v
1.1 lievre 13: #Number of iterations = %d, -2 Log likelihood = %.12f
1.6 ! brouard 14: &
! 15: #Number of iterations = %d, -2 Log likelihood = %.12f
! 16: & #Number of iterations = %d, -2 Log likelihood = %.12f
! 17: U,WVS}E ]P& ÃuAh0@ L&B @P& h@ h<@ L&B @P̔& j&诔& v P臔& CuAh0@ L&B @P臔& h@ h<@ L&B @Pl& j&O& v CUM UM9 L&щ @9~& 9?& q&9,9u D ? D B9~ԉ9~h%C@ 虓& h%C@ A PƓ& E$ PURMQuuWSE PN U RM$у $EPh0C@ C& E PU$҃ $EPhpC@ A PW& 0M QE$Ѓ $EPhC@ EP-& e[^_]Ív
1.1 lievre 18: Calculation of the hessian matrix. Wait...
19: .%d%d '
20: Inverting the hessian to get the covariance matrix. Wait...
21:
22: #Hessian matrix#
1.6 ! brouard 23: %.3e U<WVSuEF] PE& Eu?h0@ L&B @PE& h@ h<@ L&B @P*& j&
& ]ۍ P& UB]u>h0@ L&B @P& h@ h<@ L&B @Pő& j&訑& M]A uЉ];EUM\&Ӊ @;E~& hE@ 4& hE@ A Pa& ;uqVh @
! 24: & L&B P& Vh @ A P"& A PĐ& EPVuuU R M F;u~& ;u & ~&;]zv 9~mSVh F@ u& L&B PT& SVh F@ A P菐& A P1& SVEPU R M ؋ C;]~;unh @ & h @ A P&& h0F@ ֏& h0F@ A P& EЃ Pя& Eu?h0@ L&B @Pя& h@ h<@ L&B @P趏& j&虏& ] Pu& UBu@h0@ L&B @Pr& h@ h<@ L&B @PW& j&:& MA ;EU]L&щ @;E~EЃP& EuAh0@ L&B @P& h@ h<@ L&B @PԎ& j&跎& v ] P葎& UBu@h0@ L&B @P莎& h@ h<@ L&B @Ps& j&V& MA ;EU]L&щ @;E~EЃP & EuAh0@ L&B @P & h@@ h<@ L&B @P& j&Ӎ& v EЃP豍& E܃u?h0@ L&B @P豍& h]@ h<@ L&B @P薍& j&y& & ;u1& ~&;]v EM C;]~;u~ы]SEܻ& PURMQ ;]{v & {&;uv E D F;u~U& D ?RMQEPUR軈& ;uv MU F;u~;]~& hnF@ ^& hnF@ k& ~&;]Gv M $hF@ (& U $ChF@ A PH& ;]~h @ & h @ A P & ;u~& ;u/& ~&;]v MM C;]~;u~ы]SEPURMQ ]CP膋& S}& U BPk& MQ_& ]SP& E܃PA& UBP/& MQ#& e[^_]Ð $@-C 6? ? Ul WVSE EݝP۽Cݝ& lA ۭ~v ] @9~Dž ۅ& $M@ $۽& ۭɃݝݝ}؍v ݅ۅ݅ʋEɋU S۽qEUۭܥ S۽۽< ۭܥۭM@ 5M@ M@ Et Euپ
! 25: v M@ E&tE&uJM@
! 26:
M@ ٽff f٭٭)E&tEu ݕF
! 27: "݅EU [^_]Í ? ?U| WVSE} & PEݝUؐ
lA S&& 9 U @9~쉝EۅUU 0EЋ 2V۽ܥEۭɃUݝU 0E,Ћ 2V۽ܥEۭɃ Uݝ,U 0EЋ 2V۽rEۭU,ʋUܥʋ 0E,Ћ 2V۽۽ ݅ܥܥۭE ۭU
PP@ 44
XP@ *x[^_]ÐSingular matrix in routine ludcmp #B ;U,WVSU P& Eu>h0@ L&B @P& h@@ h<@ L&B @Pم& j&輅& ] C ?& ;] {&& };u E EuF;u ~D@u@h0@ L&B @PT& hR@ h<@ L&B @P9& j& & U ڋ];] j& ;u l& R@ ~&& }9}AU{&& }9} Uv }} A9| ]9|;u ^v U{&& }9} Uv }} A9|E uى]؋];] ~;utB& ;M #}] ʋ A;M ~E U] ڋ}E<U D@u;u t.U]} 49v UC ;] ~؋u;u ؋]S`& e[^_]p w Problem with prevalence resultfile: %s
1.5 lievre 28: #Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf
1.1 lievre 29:
1.2 lievre 30: #********** Variable V%d=%d **********
1.6 ! brouard 31: # Age Prev(%d) N(%d) N Total See log file for details...
! 32: Age %d %d.=%.0f loss[%d]=%.1f%% %d.=%.0f loss[%d]=NaNQ%% %d.=%.0f prev[%d]=%.1f%% %d.=%.0f prev[%d]=NaNQ%% %d %.5f %.0f %.0f %d NaNq %.0f %.0f %d%d=%.0f Others in log...
! 33: & (@|= Y@h㈵>UL& WVSE8]E@]EH]EP]EX]E`ݝxEhݝpu EpFݝh Dž@ DžD Dž8 Dž< P/& 0u>h0@ L&B @P,& h@@ h<@ L&B @P& j&& ]+E x& Pƀ& , u?h0@ L&B @P轀& h@ h<@ L&B @P袀& j&腀& E Ǎ P^& ,Bu>h0@ L&B @PX& h@ h<@ L&B @P=& j& & U ,)Ѝ]A ;M ,|&lj<A;M ~U@ fEEPS~& hU@ S5& 4 u0ShU@ j& ShU@ A P& j y& PU RE tA PjPj芹L Dž\
hA T=`A DžT& ],C& LDžP& Dž`& T9` `& @`M,; ~ \DždtA CE &Љ9d dE F&Љ9Y } s&;,dL D G; ~֡tA U &9~ʋE d&9qDžd& u 9dV d@} 9'd, D G; ~ًd} 9~Dž@ DžD Džd& Dž8 Dž< E 9d W@ v dDžX& B=`A & hA 9v
A ( A $}$(\ $ }(EdEE@t
! 34: DžX F;~X& =|A ;=A U&E]0dM4U\ UÈ@I D@u
E@EE dD@uEEE ڋd
! 35: ;E {,}f]f f]mm d,}fUf fUm]MmA d ;=A dFL 2d}fUf fUm m dC Ld}fuf fum]MmdA ʋ ؋ u BLA DdE\苅d
! 36: E&u6ۅ d Eu ܅@܅8ݝ@ݝ8G;=A ]؋dM 9`lhtp|xuuuuuuhU@ 4Spy& @=`A ~f& hV@ S/\A }$]( FPQhV@ 4W y& ;5hA ~h!V@ 4P&y& Džd& U 9d.dQQh.V@ 4Sx& du 9d~Ӄh @ 4Wx& E d 9d 9du hDV@ 4P&uDžP hJV@ x& dRhgV@ A P7x& d& A;] x
tA u &Ή0 D s&;;U &ʉL0GdЋ0 ;~Љ;] ~& ;] & v Ls&dGȅ~0(W@ uiP&u6
0W@ $S $ShnV@ ۽v& ۭ
0W@ 0 $S $ShnV@ @كP&uS $ShV@ v& S0 $ShV@ A Pv& ;] & ;] x
tA u &Ή01 D s&;>U &ʉv L0GdЋ0 ;~Љ;] ~& ;] (v ɋ,0dC;] ~ۻ& ;] " 08W@ P&uB
0W@ $S $ShV@ ۽۽9u& ۭ ۭ
0W@ $S $ShV@ A P۽۽4u& ۭۭxv P&u2S $ShV@ ۽۽t& ۭ ۭS $ShV@ A P۽۽t& ۭ ۭɋU9d 8W@ u}Ƀ$,d $ȃ $QhV@ 4W۽۽?t& ۭ0@A d\ ۭTɃ$,d $RhV@ 4Q۽۽s& ۭ ۭɃC;] ؋tA E E &Ѝs&9 v LdE@tZP&u $WShV@ r& ؋Ld $WShV@ A Ps& ءtA GU &9jʋE &9A]9dh @ 4Vr& P&uhW@ ]r& h @ A Pr& d 9`U,; `T9D݅@ܵ8 A 4Pwq& LQBPq& LCPq& Vq& 0Wq& ,@&Piq& ,RZq& [^_]ÐError on individual =%d agev[m][i]=%f m=%d
! 37: t& (@h㈵>U|WVSE}fEf
fEm]mE}fUf fUm]mE<E+E]XEDM ] Pp& Eȃu>h0@ L&B @Pp& h@ h<@ L&B @P}p& j&`p& E Í P:p& uȃFuAh0@ L&B @P7p& h@ h<@ L&B @P p& j&o& v UЃ})й GU;M v Uȋ\&É A;M ~E 5hA uԃ=`A E& }0G& E& E9E U& BMU]0; ũu@EE& } E9}AUv E@}ЉE9 M]ȋ D G;}~uu} 9~E& E$9Eb UE& BU=`A ~s& hA 9Ed
A Mċ A ]=A }EEċU}܋ U},EEEE@tE F;u~}&& }L;}P& ]4uM85g@ Uz& ]È@i& M D@u
E@EE M ]D@uẼEE ڋM ]}fuf fum]Em;E|$}fMf fMm]Em;E~ W] $Shg@ /m& uU ;E ] uu}f]f f]m]m uu}fUf fUm]Mmu䡀A E ËUMȋ]̋A D\G;}PQuu}$9EЉEU9 g@ ]& C];M uȋ}A;M ~& ;M DE9E0È@s"U@A ]ȋu}܋ A;M ~؋EEU9y؋EM]0;uu}9LEȃ@&EEPk& UȃRk& x[^_]
Warning, no any valid information for:%d line=%d and may be others, see log file
! 38: & ' Warning, no any valid information for:%d line=%d
! 39: & ' Delay (in months) between two waves Min=%d Max=%d Mean=%f
! 40:
! 41: v @p@ (@ ?ULWV& SE E E 1A & 0A A A ;}, E U$G&EBM;E0&~EuM;U(|ًuM09 ~EuMuE4uEu & W@A Phpm@ i& &u W@A Phm@ A Pi& };},J& ;},^ E& W&U܋M]; 6 u Xn@ uؐ}4 U؋& & M]uDM09 ] Pn@ E&& UɋM] `n@ $}-h& }fuf fum]mm} uE& EE;0A |0A U;A A } M ]uɋ`n@ $}g& }fEf
fEm]mEmU;0A |0A M;
A
A EE]؋E}4MËUs&E4)E4)=pA &-u U؋ M] av U؋4H9u؋ ]uU؋4]u U؋< u& ]u EEEU;؋};},E}A $0A PA Phn@ f& A $0A PA Phn@ A Pf& e[^_]Ív U WEVSE hA EE Iy& v 0A A~0A & & V&& U;]IM M=A MU}fEf
fEm]Um;U~UC;]~1;]U< t0A C;]~& & 0A ;>MM1Cv A#}< t}} B0A ;~; ~ʡ0A &u`A 9 E Hv Iy`A & 9UuC9~M& & < t; A A BC~JhA [^_]# Health expectancies
! 42: # Age %1d-%1d (SE) Problem %d lower than %d
! 43: %d| %3.0f %9.4f (%.4f) @`@ (@ ?U WVSE PU R]Sj&Sj&茞EЃ lA @P0d& Eu>h0@ L&B @P0d& h@@ h<@ L&B @Pd& j&c& 5lA Pc& Eu@h0@ L&B @Pc& h@ h<@ L&B @Pc& j&c& ƍ Psc& MAu>h0@ L&B @Ppc& h@ h<@ L&B @PUc& j&8c& }GU tL9 Mt&։4@9~t Pb& Eu?h0@ L&B @Pb& h@ h<@ L&B @Pb& j&b& t Pwb& UBu>h0@ L&B @Ptb& h@ h<@ L&B @PYb& j&<b& MA ;t t]t&։4@;t~& h t@ A Pb& h"t@ A Pa& ;}:G&& X;u VWFh(t@ A Pa& ;u~勽X;}~ƃh @ A Pa& U9U0}RM0Qh6t@ >a& ]0]E E}]EEE ]$
tUht@ eE
pt@ xt@ $j`& }fMf fMm]Em}EPj EtA Pj&Pj&&0Eԃ]Sj&lA Pj&uVj CܚuẼ P|`& Eu>h0@ L&B @P|`& h@ h<@ L&B @Pa`& j&D`& Et P`& }u?h0@ L&B @P`& h@ h<@ L&B @P_& j&_& U4M}IẼu& uxpH;U t}D&ȉB;U~4P`_& Eu>h0@ L&B @P`_& h@ h<@ L&B @PE_& j&(_& tE P^& UuAh0@ L&B @P^& h@ h<@ L&B @P^& j&^& v M&& l;E tv ]|&<@;E~E,PU(RM$Q]S}WEPURuuMQ]S訯u0EE& 5pt@ ] UĿ& B@94lA M;}u]4u v U G9~M,Q](Su$V}WEPURMQuu]SuV& E 0;u xt@ & ^&;} x8UE EM D G&8X9U7MEMԋMDEA Mx9~؋X;}~؉;u\ؿ& lA 9/M;}u]4u$ v U G9~M,Q](Su$V}WEPURMQuu]SuVۭ& E 0;u xt@ & ^&;} x8UE EM D G&8X9U7MEMԋMDEA Mx9~؋X;}~؉;u\ؾ& ;t xt@ xtM<E ^&}9}PUM̋}ċM8}E8$U4E4 Ex9}~؉;<~؋@EġlA 9ElA Pj&tRj&MQj (Eȃ E x9] t<u}& GT;uXt8E& ^&U;lA -v M}ȋ}̋Mċ AM;
lA ~։;8~T]<9~Eȿ& UD9bO&& X9?E}f]f f]m]Mmv ]Ћ D F9~㋽Xt9~E}fuf fum]]mShPt@ rY& L&B PQY& ShPt@ A PY& A P,Y& E x9E@ v UE BT9E tMuȋ]E ]u=lA FE& P9E U& Bh9iM& U D N&d94EU U,U8, C 9~d9~hMt9mtuEŰ=lA }& E9 W&& `;udM& D F&\;]0UE U(( C ;]~Ћ\;u~`;tw& ]9fv O&& X9AE}fEf
fEm]MmUE؋E FM 9~Xt9~PU싍x9T]x9& ;} xt@ v G&& X;u E}fUf fUm]mx|v U E M^& D |9EaE}fUf fUm8mv U Mԋ MD8AM Mx9~؉;ud؋X;}ؿ& uuhTt@ A PU& E ;} v O&& X;u E}fEf
fEm]]mv EUMЋE@t $T& ك $U F $hZt@ A PKU& ;u~X;}Lh @ A P!U& M&PT& lST& u PT& pWT& Ũ @PT& M̃&PT& HS}T& uȃ@PiT& P^T& DWLT& UԃB@P4T& MԃAP%T& ]ԃST& E]E ]h @ S& h @ A P
! 44: T& URS& MAPS& ]SS& u FPS& VS& }Ѓ G@&LLPnS& GPbS& WVS& [^_]-populbased-mobilav- -populbased-nomobil- -stablbased- Error in movingaverage mobilav=%d
! 45: prmorprev %-d Problem with resultfile: %s
! 46: Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s'
! 47: # probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()
! 48: # Age cov=%-d p.%-d SE w%1d p%-d%-d a Problem with gnuplot file: %s
1.4 lievre 49:
1.6 ! brouard 50: # Routine varevsij Problem with html file: %s
! 51:
! 52: <li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>
! 53:
! 54: <br>%s <br>
! 55: # Variance and covariance of health expectancies e.j
! 56: # (weighted average of eij where weights are the stable prevalence in health states i
! 57: Cov(e%1d, e%1d) %3d %d %11.3e %11.3e %11.3e %11.3e %.0f %.4f & '
! 58: set noparametric;set nolabel; set ter png small;set size 0.65, 0.65
! 59: set log y; set nolog x;set xlabel "Age"; set ylabel "Force of mortality (year-1)"; t& '
! 60: plot "%s" u 1:($3) not w l 1
! 61: replot "%s" u 1:(($3+1.96*$4)) t "95%% interval" w l 2 t&
! 62: replot "%s" u 1:(($3-1.96*$4)) not w l 2
! 63: <br> File (multiple files are possible if covariates are present): <A href="%s">%s</a>
! 64: &
! 65: <br> Probability is computed over estepm=%d months. <br> <img src="varmuptjgr%s%s%s.png"> <br>
! 66:
! 67: set out "varmuptjgr%s%s%s.png";replot; @`@ (@ ?U& WVSE$ݝxE,ݝpE@ݝh}X&u/}\ t
}ྗ@ v }ྫྷ@ ](@ @ EuBEBEB E쉵}\ twjj&jj&h j&裆 <}\WPtp|x@A P賅 t%WhЅ@ A P0L& WhЅ@ K& @ @ EBuE]BUHfERh@ V K& VSJ& QSJ& hA SJ& hU@ S K& @A u%Sh@ VK& Sh@ A PK& ]Sh0@ .K& Sh0@ A PZK& uLVh@ @A P@K& }HWh@ @A P)K& M ] E CU tA 9S& S{&h$@ @A PJ& ;u SVVh.@ F@A PJ& ;u ~E tA 9~h @ @A PJ& h<@ hpA I& A u9hpA hP@ J& hpA hP@ A PGJ& j *J& ho@ P*J& h<@ hA I& A u9hA h@ I& hA h@ A PI& j I& h@ PI& WhI@ A PI& ] tA +p& PaI& 4u@h0@ L&B @P^I& h@ h<@ L&B @PCI& j&&I& 4)4 PH& 4u?h0@ L&B @PH& h@ h<@ L&B @PH& j&H& P4)9 4|&lj<B9~& hp@ A PXH& h"t@ A PEH& ;u 3& ~&;] v SVCh@ A PH& ;] ~;u ~h @ A PG& lA @PG& 0uAh0@ L&B @PG& h@@ h<@ L&B @PG& j&G& v lA P\G& ,u?h0@ L&B @PYG& h@ h<@ L&B @P>G& j&!G& E Í PF& ,Bu>h0@ L&B @PF& h@ h<@ L&B @PF& j&F& ,A ;E ,t&։4@;E ~닅PiF& (u@h0@ L&B @PfF& h@ h<@ L&B @PKF& j&.F& PF& (Bu>h0@ L&B @P F& h@ h<@ L&B @PE& j&E& (A ;E U v (t&։4@;E ~u 5tA =lA +X& P]E& $u@h0@ L&B @PZE& h@ h<@ L&B @P?E& j&"E& ߃$)$ PD& $uAh0@ L&B @PD& h@ h<@ L&B @PD& j&D& v $9 $\&Ӊ @9~] tA +p& P8D& u?h0@ L&B @P5D& h@ h<@ L&B @PD& j&C& ) PC& u?h0@ L&B @PC& h@ h<@ L&B @PC& j&}C& P )9 t&Ɖ4B9~E tA + lA p& P C& u?h0@ L&B @PB& h@ h<@ L&B @PB& j&B& ƍ PB& Gu?h0@ L&B @PB& h@ h<@ L&B @P~B& j&aB& P )Q 9 |&lj<B9~E tA + PA& u>h0@ L&B @PA& h@@ h<@ L&B @PA& j&A& )PE tA + P}A& u>h0@ L&B @PA& h@@ h<@ L&B @PeA& j&HA& )؋u L5tA =lA +X& PA& u>h0@ L&B @P A& h@ h<@ L&B @P@& j&@& ߃) P@& uAh0@ L&B @P@& h@ h<@ L&B @Ph@& j&K@& v 9 \&Ӊ @9~u 9uL}V}LWh6t@ ?&
! 68: ELdd} ݅xݕ@dܝpÈ@\ v ؋@ ܥ@E
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fEm]UmM D C;] ~;u ~Dž` =lA 9`w `Dž\ F9\3 v T`] \ADž & 9 & @9w & , D F&9; , Utt C 9~ŋ9~ ] 9\\X5lA <& ;} G&& ;u x(N&& D ;>(, pp C ;~ċ;u ~;} f& ;u \& ~&;] H݅@}fEf
fEm]MmU (C ;] ~ۉ;u ~\=lA 9`9؋E tA & & @9w& $ D F&9;$ Uhh C 9~ŋ9~9Yu =tA &lA 9 O&9}v K&& D ;> $ d d F ;~ċ;~;XtA E Hv E {&&9(4 E FtA 9~ڋtA E &9~]HSu8V}4WE PU RMQSD@VHWԀ0EHPlhU8RM4QD@]Su V}<W)z0}X& }\ uV& ;u ݅@}fEf
fEm]Mmv E<]H@A F;u ~O& ;u C݅@}f}f f}m]MmE<<}H F;u ~ߋE tA 9`L& D {&;u ,M<HFHL ;u ~։;~UHR݅@}fMf fMm]EmPh@ @A P-& E 4E@t $,& ك& ${&L $h@ /H@ $U< $Fh&@ @A PT-& ;u ~E tA 9Q& h @ @A P!-& D@h6@ A P-& ;u i& ~&;] T݅@}fMf fMmmU C $h<@ A P,& ;] ~ω;u ~h @ A P,& P=,& V.,& P,& P ,& X @P+& X&P+& S+& T@P+& P+& W+& HB@P+& HAPp+& HS^+& ܅@ݕ@ܝpÈ@PDP+& LD P+& FP*& V*& P}*& DP*& hP@ A P*& h@ A P*& Wh@ A P*& WhP@ A P*& Wh@ A Pq*& WWhЊ@ A P_*& EPURQ}LWh0@ A P6*& EPEPRh@ A P*& 0Q)& (GP)& W)& , BP)& ,Q)& ؋ Pm)& DPZ)& $ PE)& $DP2)& 4 S)& 4DP)& }\ t6<A@P(& <CP(& S(& @A PJ(& A P<(& A P+(& H[^_]Ð# Standard deviation of stable prevalences
! 69: %1d-%1d %.5f (%.5f) t& @`@ (@ ?U WVSE$]& E,]E@]hp@ PA P
! 70: (& h"t@ PA P'& ;] v SSh@ CPA P'& ;] ~h @ PA P'& lA @P'& Eԃu?h0@ L&B @P'& h@@ h<@ L&B @Pn'& j&Q'& ] C=lA P&'& EЃ]uAh0@ L&B @P#'& h@ h<@ L&B @P'& j&&& v E Ǎ P&& UЃBuAh0@ L&B @P&& h@ h<@ L&B @P&& j&&& v MЉAu ;E v ]ЋL&щ @;E ~EP3&& ẼuAh0@ L&B @P3&& h@ h<@ L&B @P&& j&%& v P%& ]̃Cu?h0@ L&B @P%& h@ h<@ L&B @P%& j&%& ủF ;E U M̋\&Ӊ @;E ~E) @ e@ E ʃȰ@ $}}$& 5lA P %& Eȃu?h0@ L&B @P %& h@ h<@ L&B @P$& j&$& E P$& UȃBuAh0@ L&B @P$& h@ h<@ L&B @P$& j&o$& v MȉA 9U v ]ȋL&щ @9~uV$$& Eău>h0@ L&B @P$$& h@@ h<@ L&B @P $& j&#& V#& EuAh0@ L&B @P#& h@@ h<@ L&B @P#& j&#& v lA & 9[& & w&9/lA U9uMU M C9~]HSuuE8PU4Ruu؋MQ] SE<& Pm0;] U<Mċ C;] ~& lA 9,v U9uMU$ M C9~]HSuuE8PU4Ruu؋MQ] SE<& Ppm0;] U<M C;] ~& ;] .Ȱ@ v MċUًMU$4 C;] ~؉5lA 9EP
! 71: "& Eu@h0@ L&B @P
! 72: "& h@ h<@ L&B @P!& j&!& E ƍ P!& MAuAh0@ L&B @P!& h@ h<@ L&B @P!& j&o!& v ]C ;E uL&щ @;E ~& ;M 2& q&;=lA ]]ȋ G;=lA ~;M ~λ& ;] ;E}fuf fum]UmM D C;] ~=lA E& ] 9]~E& @E9aU& MЋ D F&E93UEЋ EU|| C 9~u9~MM] 9~5lA & u;} {v G&& E;u `U̍N&& D M;]3v E̋UЋ xUȋx C ;]~Ћu;u ~};} ~& ;] :E}fuf fum]Mmv E ű C;] ~& uuh6@ PA PQ & ;] E}fEf
fEm]umv U E@t $8 & ك $U< $Ch@ PA P & ;] ~h @ PA P & MăQq & ]Sb & uȃFPP & VG & U BP5 & MQ) & EU]È@UԃR & M̃AP & ]̃S & uЃ FP & V & X[^_]prob probcov probcor Computing standard deviation of one-step probabilities: result on file '%s'
! 73: Computing matrix of variance covariance of one-step probabilities: result on file '%s'
! 74: & and correlation matrix of one-step probabilities: result on file '%s'
! 75: #One-step probabilities and stand. devi in ()
! 76: #One-step probabilities and covariance matrix
! 77: #One-step probabilities and correlation matrix
! 78: p%1d-%1d (SE) p%1d-%1d
! 79: # Routine varprob v
! 80: <li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>
! 81:
! 82: <li><h4> Computing matrix of variance-covariance of step probabilities</h4></li>
! 83: '
! 84: We have drawn ellipsoids of confidence around the p<inf>ij</inf>, p<inf>kl</inf> to understand the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>
! 85: t&
! 86: <br> We have drawn x'cov<sup>-1</sup>x = 4 where x is the column vector (pij,pkl). It means that if pij and pkl where uncorrelated the (2X2) matrix would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> When both incidences are correlated we diagonalised the inverse of the covariance matrix and made the appropriate rotation.<br>
! 87: **********
! 88: #
! 89: V%d=%d
! 90: <hr size="2" color="#EC5E5E">********** Variable **********
! 91: <hr size="2" color="#EC5E5E">
! 92: %d %11.3e (%11.3e) %11.3e
! 93: %d %d-%d %11.3e & %d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f
! 94: Others in log...
! 95: ' %d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f
! 96:
! 97: set parametric;unset label v
! 98: set log y;set log x; set xlabel "p%1d%1d (year-1)";set ylabel "p%1d%1d (year-1)" & '
! 99: set ter png small
! 100: set size 0.65,0.65
! 101: <br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href="varpijgr%s%d%1d%1d-%1d%1d.png">varpijgr%s%d%1d%1d-%1d%1d.png</A>,
! 102: <br><img src="varpijgr%s%d%1d%1d-%1d%1d.png">
! 103: <br> Correlation at age %d (%.3f),
! 104: set out "varpijgr%s%d%1d%1d-%1d%1d.png"
! 105: set label "%d" at %11.3e,%11.3e center
! 106: # Age %d, p%1d%1d - p%1d%1d
! 107: plot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not %d (%.3f), & '
! 108: replot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not
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! 110: & A u8hpA hP@
! 111: & hpA hP@ A P & j
! 112: & h:@ P
! 113: & h<@ hA U
! 114: & A u9hA h@
! 115: & hA h@ A P
! 116: & j
! 117: & hP@ P
! 118: & h @ A P
! 119: & hн@ A Pi
! 120: & h0@ A PV
! 121: & h@ A P@
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tA Eˋ&9HU9
E&9u9WU8;'9P݅ٽff f٭٭PBPE PBP3 PQ! @^S V LW A Pm @A P_ @A PN A P@ A P/ [^_]Problem with %s
! 124: <ul><li><h4>Result files (first order: no variance)</h4>
! 125:
! 126: - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href="p%s">p%s</a> <br>
! 127:
! 128: - Estimated transition probabilities over %d (stepm) months: <a href="pij%s">pij%s</a><br>
! 129:
! 130: - Stable prevalence in each health state: <a href="pl%s">pl%s</a> <br>
! 131:
! 132: - Life expectancies by age and initial health status (estepm=%2d months):
! 133: <a href="e%s">e%s</a> <br>
! 134: </li> &
! 135: <ul><li><b>Graphs</b></li><p> <hr size="2" color="#EC5E5E">************ Results for covariates ************
! 136: <hr size="2" color="#EC5E5E"> <br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br>
! 137: <img src="pe%s%d1.png"> <br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>
! 138: <img src="pe%s%d2.png"> <br>- Stable prevalence in each health state : p%s%d%d.png<br>
! 139: <img src="p%s%d%d.png"> '
! 140: <br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br>
! 141: <img src="exp%s%d%d.png"> '
! 142: <br>- Total life expectancy by age and
! 143: health expectancies in states (1) and (2): e%s%d.png<br>
! 144: <img src="e%s%d.png"> </ul> v
! 145: <br><li><h4> Result files (second order: variances)</h4>
! 146:
! 147: - Parameter file with estimated parameters and covariance matrix: <a href="%s">%s</a> <br>
! 148:
! 149: - Variance of one-step probabilities: <a href="prob%s">prob%s</a> <br>
! 150:
! 151: - Variance-covariance of one-step probabilities: <a href="probcov%s">probcov%s</a> <br>
! 152:
! 153: - Correlation matrix of one-step probabilities: <a href="probcor%s">probcor%s</a> <br>
! 154:
! 155: - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href="v%s">v%s</a><br>
! 156:
! 157: - Health expectancies with their variances (no covariance): <a href="t%s">t%s</a> <br>
! 158:
! 159: - Standard deviation of stable prevalences: <a href="vpl%s">vpl%s</a> <br>
! 160: v
1.5 lievre 161:
1.6 ! brouard 162: - Prevalences forecasting: <a href="f%s">f%s</a> <br>
1.5 lievre 163:
1.6 ! brouard 164: - Population forecasting (if popforecast=1): <a href="pop%s">pop%s</a> <br>
1.1 lievre 165:
1.6 ! brouard 166: <br>
! 167: No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>
! 168: <ul><li><b>Graphs</b></li><p> <br>- Observed and stationary prevalence (with confident
! 169: interval) in state (%d): v%s%d%d.png <br>
! 170: <img src="v%s%d%d.png"> ULWVSEH]EP]EX]E`]Eh]Ep]h<@ hA A u hA hN@ j
URRMDQRRRRU RMQQuuuuuuuuuuuuhp@ P `hP@ A P hA A =`A A & 0A @& E& E E;A N MȺ& A0A M BẺU=`A ~j& hp@ /U̡A 5A
A PPGh@ A P ;=hA ~h@ A P M̃Q& hf@ h A PEPhf@ h A PU Rh@ A P M̃Qhf@ h A PEPhf@ h A PU Rh@ =MQWhf@ h A Y PEPWGhf@ h A = Ph@ A P ;=pA |& ;=pA WŨRWhf@ h A PMQWhf@ h A PWh@ GA P 0;=pA ~ẼPhf@ h A PURhf@ h A Ph@ A PS U0A M;EĉE;A h@ A P URRRRRRMDQRRRRRRE<PPh@ A P `}@&uURRRRh@ E$PM QE@Php@ A P h@ A P hA A =`A A & 0A @& E& E U;A & MȺ& A0A M BẺU=`A ~j& hp@ /U̡A 5A
A PPGh@ A P ;=hA ~h@ A P & ;=pA WM̃QWhf@ h A PEPWhf@ h A PWh@ GA Pe 0;=pA ~U0A M;EĉE;A h@ A P! A Ps e[^_]Problem with file %s cd "%s"
! 171:
! 172: set out "v%s%d%d.png"
! 173: set xlabel "Age"
1.1 lievre 174: set ylabel "Probability"
1.6 ! brouard 175: set ter png small
! 176: set size 0.65,0.65
! 177: plot [%.f:%.f] "vpl%s" every :::%d::%d u 1:2 "%%lf %%lf (%%lf) %%*lf (%%*lf) " t"Stable prevalence" w l 0,"vpl%s" every :::%d::%d u 1:($2+1.96*$3) "%%lf " t"95%% CI" w l 1,"vpl%s" every :::%d::%d u 1:($2-1.96*$3) "%%lf " t"" w l 1,"p%s" every :::%d::%d u 1:($%d) t"Observed prevalence " w l 2
! 178: set out "e%s%d.png"
1.1 lievre 179: set ylabel "Years"
1.6 ! brouard 180: set ter png small
! 181: set size 0.65,0.65
! 182: plot [%.f:%.f] "t%s" every :::%d::%d u 1:2 "%%lf " t"TLE" w l , " t"LE in state (%d)" w l , "t%s" every :::%d::%d u 1:($2-$3*2) "%%lf " t"" w l 0, ' "t%s" every :::%d::%d u 1:($2+$3*2) "%%lf " t"" w l 0
! 183: set out "exp%s%d%d.png"
! 184:
set ter png small
! 185: set size 0.65,0.65
! 186: plot [%.f:%.f] "e%s" every :::%d::%d u 1:%d t "e%d1" w l ,"e%s" every :::%d::%d u 1:%d t "e%d%d" w l
! 187: set out "p%s%d%d.png"
! 188: set xlabel "Age"
1.1 lievre 189: set ylabel "Probability"
1.6 ! brouard 190: set ter png small
! 191: set size 0.65,0.65
! 192: plot [%.f:%.f] "pij%s" u ($1==%d ? ($3):1/0):($%d/($%d +$%d )) t"prev(%d,%d)" w l ,"pij%s" u ($1==%d ? ($3):1/0):($%d/($%d )) t"prev(%d,%d)" w l
! 193: p%d=%f
! 194: set out "pe%s%d%d.png"
! 195:
! 196: set ylabel "Quasi-incidence per year"
! 197:
! 198: set title "Probability"
! 199:
! 200: set ter png small
! 201: set size 0.65,0.65
1.1 lievre 202: set log y
1.6 ! brouard 203: plot [%.f:%.f] %f*exp(p%d+p%d*x exp(p%d+p%d*x +p%d*%d*x +p%d*%d )/(1 +exp(p%d+p%d*x ) ) t "p%d%d" , & @ (@U|WVSE ]E]E ]h<@ hpA A u-hpA h@ hpA h@ A P
E$Ph @ A P hA EE $A $Q E& }fEf
fEm]mU;pA & ME& AE܉M9E& uNUԃRMQhf@ h A Ph&@ A PO ]ԃ KSSEPuuuuhP@ A P# UE& B0]MЉU;
pA 8E9Eu h@
! 204: h@ A P EЋU;pA ~ȃMQQEPh@ A P E& U;pA ;v M9Mu h@
! 205: h@ A Pq EЋE;pA ~ȃURRMQhP A A PD E& E;pA ;v U9Uu h@
! 206: h@ A P EЋM;
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h&A v EЃHPh&A A P UR& RMQh&A A Pp pA .;}u h@ h@ A PA pA G@9~σ& hA A P EPPURh0A A P pA 0-;}u h@ h@ A P pA G@9~ϡpA @9Eu hZA
! 207: hA A P ]СpA @9aMMԋE9E& M܋pA 9M& v ME& AЉM9U UJUM MU؍CERQhf@ h A + PhfA A P MQEPEHPPURuuuuhA A P ME& A0ME;pA }8}s]CSURVWWMQhA A P} ]; pA |ϋEE؋pA 9U MMԋE9E& M9M& EE& @E9Uh& UԃRMQhf@ h A Ph A A P jEPEPURuuuuhPA A P ME& A0ME;pA }. v ShA CA P EЃU;pA |ڋMQEPhA A PV tA pA E؍PRU؍DPMQEPhA A P E& 0+tA E؋UЍDPhA A P EЃpA 9E|ˋMQQh9A A P EE;pA UUԋM܋pA 9MiE& E& 9E E& ]tA C9EE@UЉE9UtU& ;=`A HMȃE(G $QhPA A P, Eȃh @ A P ;=`A ~UŰpA tA 9E~]Љ9^E& v ME& AE܉M9E URMQhf@ h A PhXA A P }u
! 208: hA hA A Pe uuuuhA A PC E& EE& @pA E9UI ME& MtA &E@E9U UBEĉU9E }u3EЃ@PUR A =A $h1A A P E@PMQhCA A P EE& U@UĿ EU;=`A uЃuv WA M;uD;
dA <A Uȋ A LA PVhRA A P E;A Uȋ
A \A TPMQh\A A P EFG;=`A _hdA A P E& E;pA :& v ]Կ K`A EP&RPhiA A P^ E& Uԋ5`A B]U9 WA M;uT;
dA LA Uȋ A LA _&PuE&DPhRA A P ELA Uȋ
A \A T_&PE`A EDPh\A A P ؉Nj5`A 9=hxA A Pf MM;
pA EPURhzA A P9 pA &tA 9EthA A P
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tA EẺpA 9EUUċpA 9UMMȋE9UUA P x[^_]UlWVShA &E EUE =`A E& &ttt E&uE È@ ɉE& U;pA cM& AM;]B}fuf fumUMm} u} C;]~ɋEЉE;pA ~È@qE U9U& EH M&EȉUEMt& E& U;pA M& E EȉE؉M& AM;]& ɋE}fuf fumUm} }E}ԉEv UM u}Ms& ډũ} ~y}f}f f}mUmU܍HpMME }܋<E}ڋ ڋU E܋}ڋ} ڃEIuM }fUf fUmUEmuE< ؋];] ɋ}Љ};=pA ؋UĉUM9C ظ1[^_]f t& ' Problem with forecast resultfile: %s
1.5 lievre 209: Computing forecasting: result on file '%s'
1.6 ! brouard 210: # Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f
! 211: #****** Routine prevforecast **
! 212:
! 213: #****** V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ******
! 214: t& ' # Covariate valuofcovar yearproj age p%d%d p.%d & '
! 215: # Forecasting at date %.lf/%.lf/%.lf %d %d %.f %.f %.3f v @`@ (@ >@ ?U,& WVSEE E ]]]E4E<E$ݝxݝpEPE`]E,ݝhݝ`UX]E\PRtp|x A PPA P0A PA PA PPA PpA PA PA P $uuOcA PfES]S胿 hU@ S PA u%ShpA ; ShpA A Pg ShA ShA A PB }l u 0A & }D t}jj&jj&h j&5( EDP(Rlhuu@A PE t+MDQhЅ@ A P迿 EDPhЅ@ n A UxA E}fMf fMm]EmEE}fEf
fEmXm
! 216: DžX& A 9}RPh6t@ TT]= A $TSA $ Eݝ0S
xA $߽
A Eݝ8S $辽 ED@u݅8D@uElD=`A
! 217: DžD& tp|xA $40<8 $hA PA P @hPA PA P A & DžP D _ DžL& Ul0A L; ! v PhqA & PA P莽 ݅`L@eݝ;}lFPA 5A
A PPGhA PA P, ;}l~& hA PA P hA PA P pA K& w&9 WShA CPA Pͼ ; pA ~Wh A PA P謼 pA tA 9~Dž\ ܝÈ@ h @ PA Pa ۅ\E $uuuuh0A PA P4 0\EX݅h. v pA A
xA A $۽ }fUf fUm]EmT Pj tA pA Pj&Pj&,00A A A A PQPR A PpA PEhP$Rۭ $ Q,Ph DžH 0ۭ 9H v H$EHEA A ɉ 5xA ۅ\D@ & h @ 2A P A
A 4PPGhWA PA P۽b ۭ;}l~ۅ A Ƀ5xA $ۅ\E $h^A PA P۽
! 218: ۭ pA & & & w&9 & ɉ}D&uJɋ,}fMf fMmUEm(HʋL Fɋ, }fEf
fEmUUm@A HыL ۅ A 5xA ۅ\D@uJ,H $hgA PA P۽۽߸ ۭۭC; pA ۅ A 5xA ۅ\D@u' $hgA PA P۽{ ۭ؋pA tA 9fH 9<,B@P۽ ,APܷ ,Pʷ ۭE؋\ۅ\ܝÈ@7LMl0A ; A P& A ;D}D t<(A@P' (BP (Q PA P肶 [^_]pop r
Problem with population file : %s
1.5 lievre 219: %d %lf
1.6 ! brouard 220: P.%d [Population]
1.1 lievre 221:
1.5 lievre 222: # Forecasting at date %.lf/%.lf/%.lf
1.6 ! brouard 223: %3.f %15.2f @`@ (@ v@ ?U\& WVSE ]EE ]]E$E,]]E4E<ݝxݝpEPE`ɋ]ݝhݝ`u\jj&jj&h j& 0jj&jj&h j&E,"A Eݝ@E5"A ܅@%A ݝ@A P|A Ptp|x A PPA P0A PA PA PPA PpA PA PA Puuuu D!A PES]S hU@ Ss A u%ShpA 詴 ShpA A Pմ ShA 脴 ShA A P谴 =hA u 0A & }D t}jj&jj&h j&( EDP(Rlhuu@A P t+MDQhЅ@ A P* ]DShЅ@ ٳ DžX& X= A $X}X&& h!A VK A uVh"A 聳 j 觳 v h 至 ƃu>h0@ L&B @P舳 h]@ h<@ L&B @Pm j&P VHh * u?h0@ L&B @P- h@@ h<@ L&B @P j& <h β u?h0@ L&B @PѲ h@@ h<@ L&B @P趲 j&虲 H~8& p CVWh3"A A Pw u߉ PA & PA 9}"H8ً<C 9| A & DžT }l D DžP& ThqA & A P ݅`P@eݝ;=hA Jv TA 5A
A PPGh@ A P脱 ;=hA ~& hA A Pa h"t@ A PN tA Wh;"A GA P/ tA pA 9~ك}X&uhA"A A P Dž\ v ۅ\E $uuuuhP"A A Pǰ ݅@*}f]f f]m]Mm"A ݅h)ER )UE\B È@ "A A "A $۽d }fUf fUm]]mؙX Sj tA pA Pj&Pj&400A A A A TQPR A PpA PuhV$Pۭ $S4R DžL 0ۭ9L ۅ\"A ݅@}fMf fMm]Em9LuJL$EE A $hx"A A P۽Ӯ ۭ؋pA & Ћ\L&tA Fщ9`& \G&& 9 @A
pA ʃ}D&u6ʋ4}fuf fumUEm(D74}fuf fum]EmʋLP C9kۅ݅@}fUf fUm]Em9Lu7ɋ0}fMf fMmUEmɋP ؋pA ЋtA 9& 9& \"A C&& 9?ʋ0}fMf fMmUEm ʐʋPG9~ۅ݅@}fEf
fEmUUm̋,0ۅXɋ A ɋP<<}f]f f]m]Em ыpA 9؋\݅@EE}fUf fUm]Em9Lus& ;=pA f}fMf fMm]]m,PG $h"A A P۽b ۭ;=pA ~L 94F@P۽ FPݪ VѪ *"A )ۭR )UEEÈ@c؋ \Dž\& ܝÈ@X ۅ\E $uuuuhP"A A P? ݅@ }fUf fUm]Mm"A *݅hE )R)UE\B È@ "A A "A $۽ܨ }fUf fUm]]mؙX Pj tA pA Pj&Pj&i400A A A A TQPR A PpA P]hS$Vۭ $ P4R$DžL 0ۭ 9L& ۅ\"A ݅@}f]f f]mm9LuXL$EE A $hx"A PA P۽۽3 ۭۭɋ
pA & ȋLtA B9
& \[w&& 9`ʋ,}fUf fUmUEmD4LCP 9~ۅ݅@}fUf fUm]Em9Lu7 $h"A PA P۽۽ ۭۭ؋
pA ȋtA 9L 9K؋4F@P۽胦 FPw Vk *"A )ۭR)UEEÈ@؋ \ۅ\ܝÈ@PhA 0A P; A X& A ;El}D t0(F@P若 FP Vs }X&u?HPX <PC 8P. 0B@P 0AP 0S ,F@Pڤ FPΤ V¤ A PA [^_]b c d e <@ <@ <4A >4A @4A B4A c
! 224: %s & '
1.5 lievre 225: Enter the parameter file name: %s pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s
1.6 ! brouard 226: .log Problem with logfile %s
! 227: Log filename:%s
1.5 lievre 228: .txt Problem with optionfile %s
1.6 ! brouard 229: o Problem with Output resultfile: %s
1.5 lievre 230: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6 ! brouard 231: ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s
! 232: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
! 233: ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d
1.5 lievre 234: model=%s
1.6 ! brouard 235: %1d%1d %lf %le %le %.5le Problem writing new parameter file: %s
1.5 lievre 236: #%s
237: Problem with datafile: %s
238: age age*age Error. Non available option model=%s Warning negative age at death: %d line:%d
1.6 ! brouard 239: Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d
! 240: Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f
1.1 lievre 241:
1.5 lievre 242: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6 ! brouard 243: ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d
1.5 lievre 244: model=%s
1.6 ! brouard 245: # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
! 246: %d%d %1d%1d %f # Scales (for hessian or gradient estimation)
! 247: %.5e t& ' # Covariance matrix
! 248: # 121 Var(a12)
! 249: # 122 Cov(b12,a12) Var(b12)
! 250: # ...
! 251: # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)
! 252: %3d t& agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d
! 253: ' # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
! 254: t& agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d
! 255: ' begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d
! 256: begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d
1.5 lievre 257: pop_based=%d
1.6 ! brouard 258: prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d
! 259: v prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d
! 260: popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf
1.5 lievre 261: popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf
1.6 ! brouard 262: .gp
! 263: # %s
! 264: # %s
! 265: set missing 'NaNq'
! 266: .htm <body> <font size="2">%s </font> <hr size="2" color="#EC5E5E">
! 267:
! 268: Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
! 269:
! 270:
! 271:
! 272: Total number of observations=%d <br>
! 273:
! 274: Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>
! 275:
! 276: <hr size="2" color="#EC5E5E">
! 277: <ul><li><h4>Parameter files</h4>
! 278:
! 279: - Copy of the parameter file: <a href="o%s">o%s</a><br>
! 280:
! 281: - Log file of the run: <a href="%s">%s</a><br>
! 282:
! 283: - Gnuplot file name: <a href="%s">%s</a></ul>
! 284: pl Problem with stable prevalence resultfile: %s
! 285: Computing stable prevalence: result on file '%s'
! 286: #Stable prevalence
! 287: #Age %d-%d %.5f pij Problem with Pij resultfile: %s
1.1 lievre 288: Computing pij: result on file '%s'
1.6 ! brouard 289: #****** h Pij x Probability to be in state j at age x+h being in i at x
! 290: #****** ' # Cov Agex agex+h hpijx with i,j= %d %3.f %3.f t
Problem with total LE resultfile: %s
1.1 lievre 291: Computing Total LEs with variances: file '%s'
292: Problem with Health Exp. resultfile: %s
293: Computing Health Expectancies: result on file '%s'
294: v ' Problem with variance resultfile: %s
295: Computing Variance-covariance of DFLEs: file '%s'
1.6 ! brouard 296: #Total LEs with variances: e.. (std) e.%d (std) %4.0f %7.3f (%7.3f) vpl Problem with variance of stable prevalence resultfile: %s
! 297: t& Computing Variance-covariance of stable prevalence: file '%s'
! 298: End of Imach with error or warning %d
1.1 lievre 299: End of Imach
1.6 ! brouard 300: See log file on %s
! 301: gnuplot Starting graphs with: %s Wait... t& '
! 302: Type e to edit output files, g to graph again, c to start again, and q for exiting: ./imach @x D@x @@|= X@ @ (@ UUUUUU? @ v@ @`@ ?UL WVPSD4A ]M DA Dž| N ݕ8Džd
! 303: ݝ`Dž DA Dž ݕ@Dž4 ݝXDž DA ݕݕ ݕݕݕ ݕ(ݕݕݕݕݕݕݕݕݕݕݝݝ\4A jdP运 hA h^4A 蝒 &)hp4A 肒 Sh4A 褑 v E @PS趒 Ãtzt8#t+C8#t&C8#t!Ctt t
uCC)& j\V[ ƃu:h& Wޏ & Ph A |Ftzt8't+G8't&G8't!Gtt t
uGG)g& )Vh A 谑 SRQ艑 Ƅ+ Ãtzt8#t+C8#t&C8#t!Ctt t
uCC+ \t3\Ƅ A j.h A % ƃFVhA ؉tzt8#t+C8#t&C8#t!Ctt t
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! 305: 1 S&1 pA CP0 S0 @A P0 A P0 PA P@0 A P20 o?A fA o?A @A hA hA / hU@ hA &0 `A uhA h?A ? v hA h?A 0 hA h?A A PF0 h@A `A P00 h@A `A P 0 Dž& ;=pA 1PPh @A `A P/ ;pA ~уh @ `A P/ pA P/ u@h0@ L&B @P/ h@ h<@ L&B @Pg/ j&J/ P#/ Au?h0@ L&B @P / h@ h<@ L&B @P/ j&. F 9 v L&щ @9~݅8݅@ݝ0ݝ8hA \=`A
! 306: Dž\& A & Dž \ v Džt& hqA & `A P:. hqA - hqA A P. tC ;=hA v A 5A
A PPh@ `A P- A 5A
A PPh@ E- A 5A
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A PPGhWA `A P۽6, ۭ;=hA ~Dž& ;
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! 307: X& A ;\`A P* +@A A hA hA &* hU@ hA |* A uhA h0@A hA hp@A * hA hp@A A P* A lDA ۅlɃٽjfjf fh٭hll٭jlۅlٽjfjf fh٭hll٭jDA lݝ8ۅlٽjfjf
fh٭hD٭jDDh@A A P) A & Dž \ Džt& A 0A t; h@A & A PZ) tF ;=hA IA 5A
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A PPGhV@ A P ;=hA ~& hA A P h@A A P ;=hA Jv A 5A
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0A A
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p ~ & ; P e z G f , _ J v i 4 Y n Y / a F b [ c q d e g h k q - e 5 d A libgcc2.c /cygnus/netrel/build/gcc-2.95.3-5/gcc/ /cygnus/netrel/src/gcc-2.95.3-5/gcc/libgcc2.c int:t(0,1)=r(0,1);0020000000000;0017777777777; char:t(0,2)=r(0,2);0;127; long int:t(0,3)=r(0,1);0020000000000;0017777777777; unsigned int:t(0,4)=r(0,1);0000000000000;0037777777777; long unsigned int:t(0,5)=r(0,1);0000000000000;0037777777777; long long int:t(0,6)=r(0,1);01000000000000000000000;0777777777777777777777; long long unsigned int:t(0,7)=r(0,1);0000000000000;01777777777777777777777; short int:t(0,8)=r(0,8);-32768;32767; short unsigned int:t(0,9)=r(0,9);0;65535; signed char:t(0,10)=r(0,10);-128;127; unsigned char:t(0,11)=r(0,11);0;255; float:t(0,12)=r(0,1);4;0; double:t(0,13)=r(0,1);8;0; long double:t(0,14)=r(0,1);12;0; complex int:t(0,15)=s8real:(0,1),0,32;imag:(0,1),32,32;; complex float:t(0,16)=r(0,16);4;0; complex double:t(0,17)=r(0,17);8;0; complex long double:t(0,18)=r(0,18);12;0; void:t(0,19)=(0,19) tconfig.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/gansidecl.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/../include/ansidecl.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/xm-i386.h tm.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/cygwin.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/gas.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/i386.h processor_costs:T(8,1)=s28add:(0,1),0,32;lea:(0,1),32,32;shift_var:(0,1),64,32;shift_const:(0,1),96,32;mult_init:(0,1),128,32;mult_bit:(0,1),160,32;divide:(0,1),192,32;; processor_type:T(8,2)=ePROCESSOR_I386:0,PROCESSOR_I486:1,PROCESSOR_PENTIUM:2,PROCESSOR_PENTIUMPRO:3,PROCESSOR_K6:4,; reg_class:T(8,3)=eNO_REGS:0,AREG:1,DREG:2,CREG:3,BREG:4,AD_REGS:5,Q_REGS:6,SIREG:7,DIREG:8,INDEX_REGS:9,GENERAL_REGS:10,FP_TOP_REG:11,FP_SECOND_REG:12,FLOAT_REGS:13,ALL_REGS:14,LIM_REG_CLASSES:15,; i386_args:T(8,4)=s12words:(0,1),0,32;nregs:(0,1),32,32;regno:(0,1),64,32;; CUMULATIVE_ARGS:t(8,5)=(8,4) /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/bsd.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/unix.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/dbxcoff.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/xm-cygwin.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/stdlib.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/_ansi.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/config.h __int32_t:t(15,1)=(0,1) __uint32_t:t(15,2)=(0,4) include/stddef.h size_t:t(16,1)=(0,4) wchar_t:t(16,2)=(0,9) /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/reent.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/time.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/machine/time.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/types.h ptrdiff_t:t(22,1)=(0,1) wint_t:t(22,2)=(0,4) /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/machine/types.h u_char:t(21,1)=(0,11) u_short:t(21,2)=(0,9) u_int:t(21,3)=(0,4) u_long:t(21,4)=(0,5) ushort:t(21,5)=(0,9) uint:t(21,6)=(0,4) clock_t:t(21,7)=(0,5) time_t:t(21,8)=(0,3) timespec:T(21,9)=s8tv_sec:(21,8),0,32;tv_nsec:(0,3),32,32;; itimerspec:T(21,10)=s16it_interval:(21,9),0,64;it_value:(21,9),64,64;; daddr_t:t(21,11)=(0,3) caddr_t:t(21,12)=(21,13)=*(0,2) ino_t:t(21,14)=(0,5) vm_offset_t:t(21,15)=(0,5) vm_size_t:t(21,16)=(0,5) int8_t:t(21,17)=(0,2) u_int8_t:t(21,18)=(0,11) int16_t:t(21,19)=(0,8) u_int16_t:t(21,20)=(0,9) int32_t:t(21,21)=(0,1) u_int32_t:t(21,22)=(0,4) int64_t:t(21,23)=(0,6) u_int64_t:t(21,24)=(0,7) register_t:t(21,25)=(21,21) dev_t:t(21,26)=(0,8) off_t:t(21,27)=(0,3) uid_t:t(21,28)=(0,9) gid_t:t(21,29)=(0,9) pid_t:t(21,30)=(0,1) key_t:t(21,31)=(0,3) ssize_t:t(21,32)=(0,3) addr_t:t(21,33)=(21,13) mode_t:t(21,34)=(0,1) nlink_t:t(21,35)=(0,9) fd_mask:t(21,36)=(0,3) _types_fd_set:T(21,37)=s8fds_bits:(21,38)=ar(0,1);0;1;(21,36),0,64;; _types_fd_set:t(21,39)=(21,37) tm:T(18,1)=s36tm_sec:(0,1),0,32;tm_min:(0,1),32,32;tm_hour:(0,1),64,32;tm_mday:(0,1),96,32;tm_mon:(0,1),128,32;tm_year:(0,1),160,32;tm_wday:(0,1),192,32;tm_yday:(0,1),224,32;tm_isdst:(0,1),256,32;; /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/features.h __ULong:t(17,1)=(15,2) _glue:T(17,2)=s12_next:(17,3)=*(17,2),0,32;_niobs:(0,1),32,32;_iobs:(17,4)=*(17,5)=xs__sFILE:,64,32;; _Bigint:T(17,6)=s24_next:(17,7)=*(17,6),0,32;_k:(0,1),32,32;_maxwds:(0,1),64,32;_sign:(0,1),96,32;_wds:(0,1),128,32;_x:(17,8)=ar(0,1);0;0;(17,1),160,32;; _atexit:T(17,9)=s136_next:(17,10)=*(17,9),0,32;_ind:(0,1),32,32;_fns:(17,11)=ar(0,1);0;31;(17,12)=*(17,13)=f(0,19),64,1024;; __sbuf:T(17,14)=s8_base:(17,15)=*(0,11),0,32;_size:(0,1),32,32;; _fpos_t:t(17,16)=(0,3) __sFILE:T(17,5)=s88_p:(17,15),0,32;_r:(0,1),32,32;_w:(0,1),64,32;_flags:(0,8),96,16;_file:(0,8),112,16;_bf:(17,14),128,64;_lbfsize:(0,1),192,32;_cookie:(17,17)=*(0,19),224,32;_read:(17,18)=*(17,19)=f(0,1),256,32;_write:(17,20)=*(17,21)=f(0,1),288,32;_seek:(17,22)=*(17,23)=f(17,16),320,32;_close:(17,24)=*(17,25)=f(0,1),352,32;_ub:(17,14),384,64;_up:(17,15),448,32;_ur:(0,1),480,32;_ubuf:(17,26)=ar(0,1);0;2;(0,11),512,24;_nbuf:(17,27)=ar(0,1);0;0;(0,11),536,8;_lb:(17,14),544,64;_blksize:(0,1),608,32;_offset:(0,1),640,32;_data:(17,28)=*(17,29)=xs_reent:,672,32;; _reent:T(17,29)=s752_errno:(0,1),0,32;_stdin:(17,4),32,32;_stdout:(17,4),64,32;_stderr:(17,4),96,32;_inc:(0,1),128,32;_emergency:(17,30)=ar(0,1);0;24;(0,2),160,200;_current_category:(0,1),384,32;_current_locale:(17,31)=*(0,2),416,32;__sdidinit:(0,1),448,32;__cleanup:(17,32)=*(17,33)=f(0,19),480,32;_result:(17,7),512,32;_result_k:(0,1),544,32;_p5s:(17,7),576,32;_freelist:(17,34)=*(17,7),608,32;_cvtlen:(0,1),640,32;_cvtbuf:(21,13),672,32;_new:(17,35)=u240_reent:(17,36)=s88_unused_rand:(0,4),0,32;_strtok_last:(21,13),32,32;_asctime_buf:(17,37)=ar(0,1);0;25;(0,2),64,208;_localtime_buf:(18,1),288,288;_gamma_signgam:(0,1),576,32;_rand_next:(0,7),640,64;;,0,704;_unused:(17,38)=s240_nextf:(17,39)=ar(0,1);0;29;(17,15),0,960;_nmalloc:(17,40)=ar(0,1);0;29;(0,4),960,960;;,0,1920;;,704,1920;_atexit:(17,10),2624,32;_atexit0:(17,9),2656,1088;_sig_func:(17,41)=*(17,42)=*(17,43)=f(0,19),3744,32;__sglue:(17,2),3776,96;__sf:(17,44)=ar(0,1);0;2;(17,5),3872,2112;; div_t:t(13,1)=(13,2)=s8quot:(0,1),0,32;rem:(0,1),32,32;; ldiv_t:t(13,3)=(13,4)=s8quot:(0,3),0,32;rem:(0,3),32,32;; /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/unistd.h /cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/unistd.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/machmode.h /cygnus/netrel/src/gcc-2.95.3-5/gcc/machmode.def machine_mode:T(28,1)=eVOIDmode:0,PQImode:1,QImode:2,PHImode:3,HImode:4,PSImode:5,SImode:6,PDImode:7,DImode:8,TImode:9,OImode:10,QFmode:11,HFmode:12,TQFmode:13,SFmode:14,DFmode:15,XFmode:16,TFmode:17,QCmode:18,HCmode:19,SCmode:20,DCmode:21,XCmode:22,TCmode:23,CQImode:24,CHImode:25,CSImode:26,CDImode:27,CTImode:28,COImode:29,BLKmode:30,CCmode:31,CCFPEQmode:32,MAX_MACHINE_MODE:33,; mode_class:T(28,2)=eMODE_RANDOM:0,MODE_INT:1,MODE_FLOAT:2,MODE_PARTIAL_INT:3,MODE_CC:4,MODE_COMPLEX_INT:5,MODE_COMPLEX_FLOAT:6,MAX_MODE_CLASS:7,; /cygnus/netrel/src/gcc-2.95.3-5/gcc/defaults.h UQItype:t(0,20)=(0,11) SItype:t(0,21)=(0,1) USItype:t(0,22)=(0,4) DItype:t(0,23)=(0,6) UDItype:t(0,24)=(0,7) SFtype:t(0,25)=(0,12) DFtype:t(0,26)=(0,13) XFtype:t(0,27)=(0,14) word_type:t(0,28)=(0,1) DIstruct:T(0,29)=s8low:(0,21),0,32;high:(0,21),32,32;; DIunion:t(0,30)=(0,31)=u8s:(0,29),0,64;ll:(0,23),0,64;; /cygnus/netrel/src/gcc-2.95.3-5/gcc/gbl-ctors.h func_ptr:t(32,1)=(17,12) __CTOR_LIST__:G(0,32)=ar(0,1);0;1;(32,1) __DTOR_LIST__:G(0,32) .file g&crt1.c & & % & & _atexit & __onexit& & 9 ,& & S & & c & .text & &! $ .data & .bss & .file K g&imach.c 0 & 0 & _ma3x 4 & & _brent & _mnbrak & _maxarg2 _maxarg1 _linmin p & _powell & _sqrarg v & _hpxij P & _func P & _mlikeli3 & _hesscov6 & @G & W & h^ & _tricodeHb & _evsij d & { & Р & _varprobH & & & & & & & _main 4& & _replace& & _nbocc & & _cutv & & _nrerror4& & _vector x& & & & _ivector& & & & & _imatrix& & & & & _matrix & & & & & ,& X& & _f1dim & & 7& x& & _lubksb & & _ludcmp B & _hessij `@ & _hessii = & _pmij & F& h& & .text 0 & && .data & .bss &0 .file U 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