MZ @ !L!This program cannot be run in DOS mode.
$ PE L > 8 @ @ ] .text `.data @ .bss .idata @ .stab B.stabstr B U$Sh,@ < E EP5A EPhA h A
A t~HB LB t 5A P P LB t 5A P P LB @t 5A Pk Pr 7 05A 5 A 4
Sd UuXB Ív UuPB Ív UVSE11 = w= sO= t v = t9= t7tj j ujj MtLj > j js ujj_ t t jл؍e[^ Uj<B 1ÐUj<B Ð ERREUR ...
%s
allocation failure in vector allocation failure in ivector allocation failure 1 in matrix() allocation failure 2 in matrix() allocation failure 3 in matrix() v U<WVS}E )PU U+UBUU +UBUP ƃu@h0@ LB @P h@ h<@ LB @Pg jJ ] ])ƃ P u?h0@ LB @P h@ h<@ LB @P j POE)EMUBEU;M ETA;M ~] Py MuAh0@ LB @Pk h@ h<@ LB @PP j3 v ]U)U;UM\ˉ B;U~M;M P}}}D]}<<AUE;U]|߉<B;U~M;M ~e[^_]. Too many iterations in brent v ?|=ŋ!r?U VSEE$EEʋu ]E E UEuUUEu]U] $}UȃU]mEEE
@ ]@ ]hf@ }۽pe LB PD hf@ A P~ A P E emE
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@ È@r)EtEÈ@sUtei]e]EtE]EuOEUEt0]+v UuEE]E
@ ]Eu
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v $}}փmmUÈ@s=u
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@ $E E 'E ʋE Eu2@ A A Eu25@ 6@ A A Eu
5@ E
@ Eu
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@ $}փmEE E EE E1؍e[^_]Ðt& -C 6*?UlWVSu} 5 A S[ u@h0@ LB @P^ h@@ h<@ LB @PC j& A S u?h0@ LB @P h@@ h<@ LB @P jѻ 0A ]E 0A MЍE]E]E]E]ȍE؉]ĉE9!v ]A ס0A B9~E E E E ?hA EP]SEP]SEPQ$ ]ăh @ S $hA E $E $E $E 09 EȐE B9~ء0A P螺 A P荺 e[^_]
Powell iter=%d -2*LL=%.12f %d %.12f
%d & powell exceeding maximum iterations. v U\WVSuE ]S Eԃu@h0@ LB @P h@@ h<@ LB @P j Sù EЃuAh0@ LB @Pù h@@ h<@ LB @P訹 j苹 v So ǃu>h0@ LB @Pp h@@ h<@ LB @PU j8 S Ẽu}h0@ LB @P h@@ h<@ LB @P j v W軸 ẼP謸 UЃR蝸 MԃQ莸 m EPU$ҋM 9v EM B9~E U UE E E $U Ph] @ M $U Ph] @ A P 09 M $Shy @ C 9~E $Shy @ A PԷ h @ 脷 h @ A P豷 E ]9 C E9M B9~E ]Sh @ % LB P Sh @ A P= A P߶ E$PU RVWMQvE E UEu]]؋]9NU EE]EMU : u>h0@ LB @P蘶 h @ h<@ LB @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 Ѝy9?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 PjPjPju V} W`A P|P`A P۽`e PU R M] M 0ۭ`;u v ^ ];M ɋ}EtA y\}~} UD Mu苅\< A UA Et A UA Et؋M;M [ A A Et؋u;u ]Eu؋E" A 5#@ ܕp
؍8[^_]ÉU<WVS };u F E9}cVЉUEHES EU;M-tA UHEE@UU @ A;M~E ؋]9|E]tA 9mVЉUEES EU;M-tA UHEE@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 ȍJ95v D C D ?EtA 9~ΉʋE
tA 9~e[^_]Ðt& (@U WVSE ]tA E E Ѝs9iv 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 Gt94UE, E(ULL F 9~t9~xM9s](u],u(p;UtA Ev E Ѝs9)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 w9u A 9u D ?v D A 9u D ? D pA CtA 9~ы9f0A 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 G9>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 w9u A 9u D ?v D A 9u D ? D pA CtA 9~ы9f0A 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 G9>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 (
v W Džx Džh Džl Džd x;=PA x 5`A @97A A Uv xA9~Džt xA H9t Mv d
tA C5pA ʉ1tC9 1 w9u A 9u D ?v D A 9u D ? D pA CtA 9~ы9f0A 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 G9> $ ( 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 w9u 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 G9> F 9~9~9\ p A A A A 0A tx;
pA txtA x Dp $: dA ݅hݝhpA ɋA tA H9-x; PA pA 9
UA9~ۅdh[^_ܵh]Powell
v
#Number of iterations = %d, -2 Log likelihood = %.12f
&
#Number of iterations = %d, -2 Log likelihood = %.12f
& #Number of iterations = %d, -2 Log likelihood = %.12f
U,WVS}E ]P ÃuAh0@ LB @P h@ h<@ LB @P̔ j诔 v P臔 CuAh0@ LB @P臔 h@ h<@ LB @Pl jO v CUM UM9 Lщ @9~ 9? q9,9u D ? D B9~ԉ9~h%C@ 虓 h%C@ A PƓ E$ PURMQuuWSE PN U RM$у $EPh0C@ C E PU$҃ $EPhpC@ A PW 0M QE$Ѓ $EPhC@ EP- e[^_]Ív
Calculation of the hessian matrix. Wait...
.%d%d '
Inverting the hessian to get the covariance matrix. Wait...
#Hessian matrix#
%.3e U<WVSuEF] PE Eu?h0@ LB @PE h@ h<@ LB @P* j
]ۍ P UB]u>h0@ LB @P h@ h<@ LB @Pő j訑 M]A uЉ];EUM\Ӊ @;E~ hE@ 4 hE@ A Pa ;uqVh @
LB P Vh @ A P" A PĐ EPVuuU R M F;u~ ;u ~;]zv 9~mSVh F@ u LB PT SVh F@ A P菐 A P1 SVEPU R M ؋ C;]~;unh @ h @ A P& h0F@ ֏ h0F@ A P EЃ Pя Eu?h0@ LB @Pя h@ h<@ LB @P趏 j虏 ] Pu UBu@h0@ LB @Pr h@ h<@ LB @PW j: MA ;EU]Lщ @;E~EЃP EuAh0@ LB @P h@ h<@ LB @PԎ j跎 v ] P葎 UBu@h0@ LB @P莎 h@ h<@ LB @Ps jV MA ;EU]Lщ @;E~EЃP EuAh0@ LB @P h@@ h<@ LB @P jӍ v EЃP豍 E܃u?h0@ LB @P豍 h]@ h<@ LB @P薍 jy ;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
v M@ EtEuJM@
M@ ٽff f٭٭)EtEu ݕF
"݅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@ LB @P h@@ h<@ LB @Pم j輅 ] C ? ;] { };u E EuF;u ~D@u@h0@ LB @PT hR@ h<@ LB @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
#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf
#********** Variable V%d=%d **********
# Age Prev(%d) N(%d) N Total See log file for details...
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...
& (@|= Y@h㈵>UL WVSE8]E@]EH]EP]EX]E`ݝxEhݝpu EpFݝh Dž@ DžD Dž8 Dž< P/ 0u>h0@ LB @P, h@@ h<@ LB @P j ]+E x Pƀ , u?h0@ LB @P轀 h@ h<@ LB @P袀 j腀 E Ǎ P^ ,Bu>h0@ LB @PX h@ h<@ LB @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 FЉ9Y } s;,dL D G; ~֡tA U 9~ʋE d9qDžd 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
DžX F;~X =|A ;=A UE]0dM4U\ UÈ@I D@u
E@EE dD@uEEE ڋd
;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
Eu6ۅ d Eu ܅@܅8ݝ@ݝ8G;=A ]؋dM 9`lhtp|xuuuuuuhU@ 4Spy @=`A ~f hV@ S/\A }$]( FPQhV@ 4W y ;5hA ~h!V@ 4Py Džd U 9d.dQQh.V@ 4Sx du 9d~Ӄh @ 4Wx E d 9d 9du hDV@ 4PuDžP hJV@ x dRhgV@ A P7x d A;] x
tA u Ή0 D s;;U ʉL0GdЋ0 ;~Љ;] ~ ;] v LsdGȅ~0(W@ uiPu6
0W@ $S $ShnV@ ۽v ۭ
0W@ 0 $S $ShnV@ @كPuS $ShV@ v S0 $ShV@ A Pv ;] ;] x
tA u Ή01 D s;>U ʉv L0GdЋ0 ;~Љ;] ~ ;] (v ɋ,0dC;] ~ۻ ;] " 08W@ PuB
0W@ $S $ShV@ ۽۽9u ۭ ۭ
0W@ $S $ShV@ A P۽۽4u ۭۭxv Pu2S $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 Ѝs9 v LdE@tZPu $WShV@ r ؋Ld $WShV@ A Ps ءtA GU 9jʋE 9A]9dh @ 4Vr PuhW@ ]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
t& (@h㈵>U|WVSE}fEf
fEm]mE}fUf fUm]mE<E+E]XEDM ] Pp Eȃu>h0@ LB @Pp h@ h<@ LB @P}p j`p E Í P:p uȃFuAh0@ LB @P7p h@ h<@ LB @P p jo 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}$9EЉEU9 g@ ] C];M uȋ}A;M ~ ;M DE9E0È@s"U@A ]ȋu}܋ A;M ~؋EEU9y؋EM]0;uu}9LEȃ@EEPk UȃRk x[^_]
Warning, no any valid information for:%d line=%d and may be others, see log file
& ' Warning, no any valid information for:%d line=%d
& ' Delay (in months) between two waves Min=%d Max=%d Mean=%f
v @p@ (@ ?ULWV SE E E 1A 0A A A ;}, E U$GEBM;E0&~EuM;U(|ًuM09 ~EuMuE4uEu W@A Phpm@ i u W@A Phm@ A Pi };},J ;},^ E WU܋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}4MËUsE4)E4)=pA -u U؋ M] av U؋4H9u؋ ]uU؋4]u U؋< u ]u EEEU;؋};},E}A $0A PA Phn@ f A $0A PA Phn@ A Pf e[^_]Ív U WEVSE hA EE Iy v 0A A~0A V U;]IM M=A MU}fEf
fEm]Um;U~UC;]~1;]U< t0A C;]~ 0A ;>MM1Cv A#}< t}} B0A ;~; ~ʡ0A u`A 9 E Hv Iy`A 9UuC9~M < t; A A BC~JhA [^_]# Health expectancies
# Age %1d-%1d (SE) Problem %d lower than %d
%d| %3.0f %9.4f (%.4f) @`@ (@ ?U WVSE PU R]SjSj茞EЃ lA @P0d Eu>h0@ LB @P0d h@@ h<@ LB @Pd jc 5lA Pc Eu@h0@ LB @Pc h@ h<@ LB @Pc jc ƍ Psc MAu>h0@ LB @Ppc h@ h<@ LB @PUc j8c }GU tL9 Mt։4@9~t Pb Eu?h0@ LB @Pb h@ h<@ LB @Pb jb t Pwb UBu>h0@ LB @Ptb h@ h<@ LB @PYb j<b MA ;t t]t։4@;t~ h t@ A Pb h"t@ A Pa ;}:G X;u VWFh(t@ A Pa ;u~勽X;}~ƃh @ A Pa U9U0}RM0Qh6t@ >a ]0]E E}]EEE ]$
tUht@ eE
pt@ xt@ $j` }fMf fMm]Em}EPj EtA PjPj0Eԃ]SjlA PjuVj CܚuẼ P|` Eu>h0@ LB @P|` h@ h<@ LB @Pa` jD` Et P` }u?h0@ LB @P` h@ h<@ LB @P_ j_ U4M}IẼu uxpH;U t}DȉB;U~4P`_ Eu>h0@ LB @P`_ h@ h<@ LB @PE_ j(_ tE P^ UuAh0@ LB @P^ h@ h<@ LB @P^ j^ v M l;E tv ]|<@;E~E,PU(RM$Q]S}WEPURuuMQ]S訯u0EE 5pt@ ] UĿ B@94lA M;}u]4u v U G9~M,Q](Su$V}WEPURMQuu]SuV E 0;u xt@ ^;} x8UE EM D G8X9U7MEMԋMDEA Mx9~؋X;}~؉;u\ؿ lA 9/M;}u]4u$ v U G9~M,Q](Su$V}WEPURMQuu]SuVۭ E 0;u xt@ ^;} x8UE EM D G8X9U7MEMԋMDEA Mx9~؋X;}~؉;u\ؾ ;t xt@ xtM<E ^}9}PUM̋}ċM8}E8$U4E4 Ex9}~؉;<~؋@EġlA 9ElA PjtRjMQj (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 LB PQY ShPt@ A PY A P,Y E x9E@ v UE BT9E tMuȋ]E ]u=lA FE P9E U Bh9iM U D Nd94EU 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 MPT lST u PT pWT Ũ @PT M̃PT HS}T uȃ@PiT P^T DWLT UԃB@P4T MԃAP%T ]ԃST E]E ]h @ S h @ A P
T URS MAPS ]SS u FPS VS }Ѓ G@LLPnS GPbS WVS [^_]-populbased-mobilav- -populbased-nomobil- -stablbased- Error in movingaverage mobilav=%d
prmorprev %-d Problem with resultfile: %s
Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s'
# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()
# Age cov=%-d p.%-d SE w%1d p%-d%-d a Problem with gnuplot file: %s
# Routine varevsij Problem with html file: %s
<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>
<br>%s <br>
# Variance and covariance of health expectancies e.j
# (weighted average of eij where weights are the stable prevalence in health states i
Cov(e%1d, e%1d) %3d %d %11.3e %11.3e %11.3e %11.3e %.0f %.4f & '
set noparametric;set nolabel; set ter png small;set size 0.65, 0.65
set log y; set nolog x;set xlabel "Age"; set ylabel "Force of mortality (year-1)"; t& '
plot "%s" u 1:($3) not w l 1
replot "%s" u 1:(($3+1.96*$4)) t "95%% interval" w l 2 t&
replot "%s" u 1:(($3-1.96*$4)) not w l 2
<br> File (multiple files are possible if covariates are present): <A href="%s">%s</a>
&
<br> Probability is computed over estepm=%d months. <br> <img src="varmuptjgr%s%s%s.png"> <br>
set out "varmuptjgr%s%s%s.png";replot; @`@ (@ ?U WVSE$ݝxE,ݝpE@ݝh}Xu/}\ t
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%1d-%1d %.5f (%.5f) t& @`@ (@ ?U WVSE$] E,]E@]hp@ PA P
( h"t@ PA P' ;] v SSh@ CPA P' ;] ~h @ PA P' lA @P' Eԃu?h0@ LB @P' h@@ h<@ LB @Pn' jQ' ] C=lA P&' EЃ]uAh0@ LB @P#' h@ h<@ LB @P' j& v E Ǎ P& UЃBuAh0@ LB @P& h@ h<@ LB @P& j& v MЉAu ;E v ]ЋLщ @;E ~EP3& ẼuAh0@ LB @P3& h@ h<@ LB @P& j% v P% ]̃Cu?h0@ LB @P% h@ h<@ LB @P% j% ủF ;E U M̋\Ӊ @;E ~E) @ e@ E ʃȰ@ $}}$ 5lA P % Eȃu?h0@ LB @P % h@ h<@ LB @P$ j$ E P$ UȃBuAh0@ LB @P$ h@ h<@ LB @P$ jo$ v MȉA 9U v ]ȋLщ @9~uV$$ Eău>h0@ LB @P$$ h@@ h<@ LB @P $ j# V# EuAh0@ LB @P# h@@ h<@ LB @P# j# v lA 9[ w9/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
" Eu@h0@ LB @P
" h@ h<@ LB @P! j! E ƍ P! MAuAh0@ LB @P! h@ h<@ LB @P! jo! v ]C ;E uLщ @;E ~ ;M 2 q;=lA ]]ȋ G;=lA ~;M ~λ ;] ;E}fuf fum]UmM D C;] ~=lA E ] 9]~E @E9aU MЋ D FE93UEЋ 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'
Computing matrix of variance covariance of one-step probabilities: result on file '%s'
& and correlation matrix of one-step probabilities: result on file '%s'
#One-step probabilities and stand. devi in ()
#One-step probabilities and covariance matrix
#One-step probabilities and correlation matrix
p%1d-%1d (SE) p%1d-%1d
# Routine varprob v
<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>
<li><h4> Computing matrix of variance-covariance of step probabilities</h4></li>
'
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>
t&
<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>
**********
#
V%d=%d
<hr size="2" color="#EC5E5E">********** Variable **********
<hr size="2" color="#EC5E5E">
%d %11.3e (%11.3e) %11.3e
%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
Others in log...
' %d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f
set parametric;unset label v
set log y;set log x; set xlabel "p%1d%1d (year-1)";set ylabel "p%1d%1d (year-1)" & '
set ter png small
set size 0.65,0.65
<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>,
<br><img src="varpijgr%s%d%1d%1d-%1d%1d.png">
<br> Correlation at age %d (%.3f),
set out "varpijgr%s%d%1d%1d-%1d%1d.png"
set label "%d" at %11.3e,%11.3e center
# Age %d, p%1d%1d - p%1d%1d
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), & '
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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tA Eˋ9HU9
E9u9WU8;'9P݅ٽff f٭٭PBPE PBP3 PQ! @^S V LW A Pm @A P_ @A PN A P@ A P/ [^_]Problem with %s
<ul><li><h4>Result files (first order: no variance)</h4>
- 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>
- Estimated transition probabilities over %d (stepm) months: <a href="pij%s">pij%s</a><br>
- Stable prevalence in each health state: <a href="pl%s">pl%s</a> <br>
- Life expectancies by age and initial health status (estepm=%2d months):
<a href="e%s">e%s</a> <br>
</li> &
<ul><li><b>Graphs</b></li><p> <hr size="2" color="#EC5E5E">************ Results for covariates ************
<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>
<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>
<img src="pe%s%d2.png"> <br>- Stable prevalence in each health state : p%s%d%d.png<br>
<img src="p%s%d%d.png"> '
<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br>
<img src="exp%s%d%d.png"> '
<br>- Total life expectancy by age and
health expectancies in states (1) and (2): e%s%d.png<br>
<img src="e%s%d.png"> </ul> v
<br><li><h4> Result files (second order: variances)</h4>
- Parameter file with estimated parameters and covariance matrix: <a href="%s">%s</a> <br>
- Variance of one-step probabilities: <a href="prob%s">prob%s</a> <br>
- Variance-covariance of one-step probabilities: <a href="probcov%s">probcov%s</a> <br>
- Correlation matrix of one-step probabilities: <a href="probcor%s">probcor%s</a> <br>
- Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href="v%s">v%s</a><br>
- Health expectancies with their variances (no covariance): <a href="t%s">t%s</a> <br>
- Standard deviation of stable prevalences: <a href="vpl%s">vpl%s</a> <br>
v
- Prevalences forecasting: <a href="f%s">f%s</a> <br>
- Population forecasting (if popforecast=1): <a href="pop%s">pop%s</a> <br>
<br>
No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>
<ul><li><b>Graphs</b></li><p> <br>- Observed and stationary prevalence (with confident
interval) in state (%d): v%s%d%d.png <br>
<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
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set out "v%s%d%d.png"
set xlabel "Age"
set ylabel "Probability"
set ter png small
set size 0.65,0.65
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
set out "e%s%d.png"
set ylabel "Years"
set ter png small
set size 0.65,0.65
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
set out "exp%s%d%d.png"
set ter png small
set size 0.65,0.65
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
set out "p%s%d%d.png"
set xlabel "Age"
set ylabel "Probability"
set ter png small
set size 0.65,0.65
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/($%d )) t"prev(%d,%d)" w l
p%d=%f
set out "pe%s%d%d.png"
set ylabel "Quasi-incidence per year"
set title "Probability"
set ter png small
set size 0.65,0.65
set log y
plot [%.f:%.f] %f*exp(p%d+p%d*x exp(p%d+p%d*x +p%d*%d*x +p%d*%d )/(1 +exp(p%d+p%d*x ) ) t "p%d%d" , & @ (@U|WVSE ]E]E ]h<@ hpA A u-hpA h@ hpA h@ A P
E$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@
h@ A P EЋU;pA ~ȃMQQEPh@ A P E U;pA ;v M9Mu h@
h@ A Pq EЋE;pA ~ȃURRMQhP A A PD E E;pA ;v U9Uu h@
h@ A P EЋM;
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hA v EЃHPhA A P UR RMQhA 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
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
hA hA A Pe uuuuhA A PC E EE @pA E9UI ME MtA E@E9U UBEĉU9E }u3EЃ@PUR A =A $h1A A P E@PMQhCA A P EE U@UĿ EU;=`A uЃuv WA M;uD;
dA <A Uȋ A LA PVhRA A P E;A Uȋ
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dA LA Uȋ A LA _PuEDPhRA A P ELA Uȋ
A \A T_PE`A EDPh\A A P ؉Nj5`A 9=hxA A Pf MM;
pA EPURhzA A P9 pA tA 9EthA A P
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tA EẺpA 9EUUċpA 9UMMȋE9UUA P x[^_]UlWVShA E EUE =`A E ttt EuE È@ ɉE U;pA cM AM;]B}fuf fumUMm} u} C;]~ɋEЉE;pA ~È@qE U9U EH MEȉUEMt E U;pA M E EȉE؉M AM;] ɋE}fuf fumUm} }E}ԉEv UM u}Ms ډũ} ~y}f}f f}mUmU܍HpMME }܋<E}ڋ ڋU E܋}ڋ} ڃEIuM }fUf fUmUEmuE< ؋];] ɋ}Љ};=pA ؋UĉUM9C ظ1[^_]f t& ' Problem with forecast resultfile: %s
Computing forecasting: result on file '%s'
# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f
#****** Routine prevforecast **
#****** V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ******
t& ' # Covariate valuofcovar yearproj age p%d%d p.%d & '
# Forecasting at date %.lf/%.lf/%.lf %d %d %.f %.f %.3f v @`@ (@ >@ ?U, WVSEE E ]]]E4E<E$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}jjjjh j5( EDP(Rlhuu@A PE t+MDQhЅ@ A P迿 EDPhЅ@ n A UxA E}fMf fMm]EmEE}fEf
fEmXm
DžX A 9}RPh6t@ TT]= A $TSA $ Eݝ0S
xA $߽
A Eݝ8S $辽 ED@u݅8D@uElD=`A
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 w9 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 $۽ }fUf fUm]EmT Pj tA pA PjPj,00A A A A PQPR A PpA PEhP$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۽
ۭ pA w9 ɉ}DuJɋ,}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' $hgA PA P۽{ ۭ؋pA tA 9fH 9<,B@P۽ ,APܷ ,Pʷ ۭE؋\ۅ\ܝÈ@7LMl0A ; A P A ;D}D t<(A@P' (BP (Q PA P肶 [^_]pop r
Problem with population file : %s
%d %lf
P.%d [Population]
# Forecasting at date %.lf/%.lf/%.lf
%3.f %15.2f @`@ (@ v@ ?U\ WVSE ]EE ]]E$E,]]E4E<ݝxݝpEPE`ɋ]ݝhݝ`u\jjjjh j 0jjjjh jE,"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}jjjjh 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@ LB @P舳 h]@ h<@ LB @Pm jP VHh * u?h0@ LB @P- h@@ h<@ LB @P j <h β u?h0@ LB @PѲ h@@ h<@ LB @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}XuhA"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 $۽d }fUf fUm]]mؙX Sj tA pA PjPj400A A A A TQPR A PpA PuhV$Pۭ $S4R DžL 0ۭ9L ۅ\"A ݅@}fMf fMm]Em9LuJL$EE A $hx"A A P۽Ӯ ۭ؋pA Ћ\LtA Fщ9` \G 9 @A
pA ʃ}Du6ʋ4}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 $۽ܨ }fUf fUm]]mؙX Pj tA pA PjPji400A A A A TQPR A PpA P]hS$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 }Xu?HPX <PC 8P. 0B@P 0AP 0S ,F@Pڤ FPΤ V¤ A PA [^_]b c d e <@ <@ <4A >4A @4A B4A c
%s & '
Enter the parameter file name: %s pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s
.log Problem with logfile %s
Log filename:%s
.txt Problem with optionfile %s
o Problem with Output resultfile: %s
title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s
title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d
model=%s
%1d%1d %lf %le %le %.5le Problem writing new parameter file: %s
#%s
Problem with datafile: %s
age age*age Error. Non available option model=%s Warning negative age at death: %d line:%d
Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d
Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f
title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d
model=%s
# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
%d%d %1d%1d %f # Scales (for hessian or gradient estimation)
%.5e t& ' # Covariance matrix
# 121 Var(a12)
# 122 Cov(b12,a12) Var(b12)
# ...
# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)
%3d t& agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d
' # agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
t& agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d
' begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d
begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d
pop_based=%d
prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d
v prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d
popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf
popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf
.gp
# %s
# %s
set missing 'NaNq'
.htm <body> <font size="2">%s </font> <hr size="2" color="#EC5E5E">
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
Total number of observations=%d <br>
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>
<hr size="2" color="#EC5E5E">
<ul><li><h4>Parameter files</h4>
- Copy of the parameter file: <a href="o%s">o%s</a><br>
- Log file of the run: <a href="%s">%s</a><br>
- Gnuplot file name: <a href="%s">%s</a></ul>
pl Problem with stable prevalence resultfile: %s
Computing stable prevalence: result on file '%s'
#Stable prevalence
#Age %d-%d %.5f pij Problem with Pij resultfile: %s
Computing pij: result on file '%s'
#****** h Pij x Probability to be in state j at age x+h being in i at x
#****** ' # Cov Agex agex+h hpijx with i,j= %d %3.f %3.f t
Problem with total LE resultfile: %s
Computing Total LEs with variances: file '%s'
Problem with Health Exp. resultfile: %s
Computing Health Expectancies: result on file '%s'
v ' Problem with variance resultfile: %s
Computing Variance-covariance of DFLEs: file '%s'
#Total LEs with variances: e.. (std) e.%d (std) %4.0f %7.3f (%7.3f) vpl Problem with variance of stable prevalence resultfile: %s
t& Computing Variance-covariance of stable prevalence: file '%s'
End of Imach with error or warning %d
End of Imach
See log file on %s
gnuplot Starting graphs with: %s Wait... t& '
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
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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 gcrt1.c % _atexit __onexit 9 , S c .text ! $ .data .bss .file K gimach.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 gCRTglob.c .text .data .bss 0 .file _ gCRTfmode.c .text .data .bss 0 .file k gCRT_fp10.c P .text .data .bss 0 .file { ggccmain.c _p.33 Z g z ___main d .text .data .bss 0 .file glibgcc2.c .text .data .bss 0 .stab .text .data .bss 0 .idata$7 .idata$5$ .idata$4T .idata$6 .text .data .bss 0 .idata$7 .idata$5( .idata$4X .idata$6 .file gfake hname T fthunk $ .text .data .bss 0 .idata$2 .idata$5 .idata$4P .file gfake .text .data .bss 0 .idata$4\ .idata$5, .idata$7 .text .data .bss 0 .idata$7$ .idata$5H .idata$4x .idata$6T .text .data .bss 0 .idata$7( .idata$5L .idata$4| .idata$6` .text .data .bss 0 .idata$74 .idata$5X .idata$4 .idata$6 .text .data .bss 0 .idata$7, .idata$5P .idata$4 .idata$6h .text .data .bss 0 .idata$7 .idata$5< .idata$4l .idata$6( .text .data .bss 0 .idata$7 .idata$5@ .idata$4p .idata$6< .text .data .bss 0 .idata$7 .idata$58 .idata$4h .idata$6 .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6L .text 0 .data .bss 0 .idata$7 .idata$5D .idata$4t .idata$6H .text @ .data .bss 0 .idata$70 .idata$5T .idata$4 .idata$6t .text P .data .bss 0 .idata$7 .idata$54 .idata$4d .idata$6 .text ` .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .text p .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6x .text .data .bss 0 .idata$7< .idata$5` .idata$4 .idata$6 .text .data .bss 0 .idata$78 .idata$5\ .idata$4 .idata$6 .text .data .bss 0 .idata$7` .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6< .text .data .bss 0 .idata$7P .idata$5t .idata$4 .idata$6 .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7l .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6l .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6D .text .data .bss 0 .idata$7h .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7x .idata$5 .idata$4 .idata$6 .text 0 .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .text @ .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6X .text P .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6d .text ` .data .bss 0 .idata$7T .idata$5x .idata$4 .idata$6 .text p .data .bss 0 .idata$7H .idata$5l .idata$4 .idata$6 .text .data .bss 0 .idata$7X .idata$5| .idata$4 .idata$6 .text .data .bss 0 .idata$7| .idata$5 .idata$4 .idata$6( .text .data .bss 0 .idata$7p .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7D .idata$5h .idata$4 .idata$6 .text .data .bss 0 .idata$7L .idata$5p .idata$4 .idata$6 .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$60 .text .data .bss 0 .idata$7d .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7t .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7@ .idata$5d .idata$4 .idata$6 .text .data .bss 0 .idata$7\ .idata$5 .idata$4 .idata$6 .text .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .text 0 .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .text @ .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .file gfake hname d fthunk 4 .text P .data .bss 0 .idata$2 .idata$50 .idata$4` .file gfake .text P .data .bss 0 .idata$4 .idata$5 .idata$7 .text P .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .text ` .data .bss 0 .idata$7 .idata$5 .idata$4 .idata$6 .file gfake hname fthunk .text p .data .bss 0 .idata$2( .idata$5 .idata$4 .file # gfake .text p .data .bss 0 .idata$4 .idata$5 .idata$7 0 __cexit x _sprintf@ _Tvar _Tage T _Tvaraff _ficresfP x _free _strcat _ficrest` _mle p _nlstatep _ficpar P P _ftol & 2 _npar l = Q _modf ] $ j H _getc _title _ungetc _jmin _s _jmean _Tprod 0 _version _puts 8 L _num @ _fic P ` ) _Tcode 3 x = _scanf K c _anint _oldms 0 n @ _plotcmdP _fputs } h _nbcode _fichtm _oldm _fpreset _nrfunc 0 _annais @ P _andc ` __dll__ X _strncpy p @ + d 7 _atoi _newm M [ ` g _covar _m | __argc ` end _stepm _codtab P _chdir _moisdc p p _ncovcol _fflush etext
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& > ` _erreur p I < _exit _ _printf _weight i | _floor ` _ficres _pcom _system ` _fscanf gcc2_compiled. ___gnu_compiled_c ___mingw_CRTStartup __gnu_exception_handler@4 _mainCRTStartup _WinMainCRTStartup _prevalim _freqsummary _prevalence _concatwav _varevsij _varprevlim _printinghtml _printinggnuplot _prevforecast _populforecast _free_vector _free_ivector _free_imatrix _free_matrix _free_ma3x _movingaverage _matprod2 __fpreset _initialized ___do_global_dtors ___do_global_ctors _filerese __imp__strtok __imp__floor _fileresvpl __imp___setmode _optionfile __data_start__ ___DTOR_LIST__ __imp___onexit _SetUnhandledExceptionFilter@4 __imp__modf __imp__log __libmsvcrt_a_iname __imp__getc __imp__chdir __size_of_stack_commit__ __imp___fmode __size_of_stack_reserve__ __major_subsystem_version__ _filereso _ficresprob _cptcovprod __imp____p__environ __imp___iob _rfileres __libmoldname_a_iname _filerest _popbased __bss_start__ __size_of_heap_commit__ _ficresvij _ficresprobcor __imp__exp _optionfilext ___p__environ _datafile _ficresvpl __imp__signal __imp__puts __minor_os_version__ __imp__atexit __head_libmsvcrt_a _optionfilegnuplot __image_base__ __imp__exit __section_alignment__ __imp__ungetc __imp__atol __head_libmoldname_a _ftolhess _ExitProcess@4 __data_end__ _fileregp ___getmainargs __CTOR_LIST__ ___set_app_type __imp__sprintf __bss_end__ __CRT_fmode __imp__scanf _optionfilefiname _filerespij _optionfilehtm _ficrespij __imp__sqrt __imp__fgets __imp__strchr ___CTOR_LIST__ __imp__getcwd _ficresprobmorprev _ficrespl __imp__system __file_alignment__ __imp__strrchr __imp__malloc __imp__atoi __imp__strncpy __major_os_version__ _ficreseij _fileresv _ncodemax _ficrespop _weightopt __imp___fileno _dateintmean __DTOR_LIST__ __imp__fprintf __imp__fclose __size_of_heap_reserve__ __subsystem__ __imp__fputs _cptcovage __imp__fflush __imp__strcpy __imp__pow _filerespl _moisnais __imp__fopen __imp____getmainargs __imp__fscanf __imp__ExitProcess@4 __imp__free __imp__SetUnhandledExceptionFilter@4 _ficresprobcov __major_image_version__ __loader_flags__ __CRT_glob __setmode __imp__printf __head_libkernel32_a __imp___cexit _cptcoveff __minor_subsystem_version__ __minor_image_version__ _ncovmodel __imp____set_app_type _lastpass __libkernel32_a_iname _firstpass __imp__strcat
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