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Annotation of imach/src/imach.exe, revision 1.7

1.1       lievre      1: MZ@ !&L!This program cannot be run in DOS mode.

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        !            93: #individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total
        !            94: #num_i i s1 s2 mi mw dh likeli weight 2wlli out sav  -2*gipw/gsw*weight*ll[%d]++&' -2*gipw/gsw*weight*ll(total)
        !            95: 
        !            96: <br>File of contributions to the likelihood: <a href="%s">%s</a><br>
        !            97: USE8D$#q@$rB&D$PsB$rB&D$'q@$rB&hB=hBu1D$rB$)q@&D$rBD$)q@oB$&D$`q@hB$&D$`r@hB$&E&E;E~#ED$D$r@hB$&ED$r@hB$&E$E(ЋE$E8tQhB$&$rBm$rB_\$D$D$r@gB$,&gB$&[]Powell
        !            98: pow# Powell
        !            99: # iter -2*LL p%1d%1d
1.1       lievre    100: #Number of iterations = %d, -2 Log likelihood = %.12f
1.6       brouard   101: &
                    102: #Number of iterations = %d, -2 Log likelihood = %.12f 
                    103: &#Number of iterations = %d, -2 Log likelihood = %.12f 
1.7     ! brouard   104: UXE]ED$D$&ED$$&认EE&E;E~[E&E;E~CEUEEԋ
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1.1       lievre    106: Calculation of the hessian matrix. Wait...
                    107: .%d%d'
                    108: Inverting the hessian to get the covariance matrix. Wait...
                    109: 
                    110: #Hessian matrix#
1.7     ! brouard   111: %.3e UWVS\E]ED$D$&ED$$&茡E$ x@i&D$ x@oB$&E&E;E~EȉD$$_/@-&B $
&EȉD$D$_/@oB$Q&oB$&ED$E D$ED$EȉD$E\$E$EȍM̋EȍERE&E;E~&E&E;E~E;EEĉD$EȉD$$Mx@Q&B $1&EĉD$EȉD$D$Mx@oB$n&oB$&&ED$E D$EĉD$EȉD$ED$E$EȍM̋EčEčŰEȍ<4
        !           112: EȍM̋Eč>EE$k.@l&D$k.@oB$&$`x@K&D$`x@oB$&ED$D$&ED$$&(EED$D$&ED$$&EED$$&ӛE܋ED$$&<EE&E;E~YE&E;E~AEȍUEč<4
        !           113: EȍM̋Eč>E뵍E띍EЉD$ED$ED$E$E&E;E~E&E;E~EȍEE݋EčEE܉D$ED$ED$E$E&E;E~4EȍUEč
        !           114: EȍEEEH$x@k&D$x@oB$&E&E;E~E&E;E~jEȍM̋Eč\$$x@&EȍM̋Eč\$D$x@oB$&E$k.@&D$k.@oB$&EME&E;E~YE&E;E~AEȍUEč<4
        !           115: EȍMEč>E뵍E띍EЉD$ED$ED$E$ED$D$&ED$D$&E$3ED$D$&ED$D$&E$
        !           116: ED$D$&E܉$ED$D$&E$JED$D$&ED$D$&Ẻ$譜\[^_]Ív-C6?$@@UE]E&E@ݝ@ݝݝ@ݝDž|Džx
        !           117: E$EݝE&E;E ~!MEEݜ͸EEE;E~&E\$@$7&ݝp݅ݝDž|&|;x|&ۅ|܍pEݝMEE܅ݜ͸$Eܥ]؋MEEܥݜ͸$Eܥ]EEܵܵ@ݝ݅ܵ@Ew"݅ܵ@Ewx|݅ܵEw݅ܵEw@x|E@ٽnnf
fl٭l]٭n:݅ܵEw݅ܵEw݅ݝ|@EEE݅݅Ív@@UVSpE&EE$E]Dž&~~E&E;E~!MEEݜͨEՋuE]EEۅݜuE]EEۅݜ$Ee]uE]EEۅݜuE]EEۅݜ$Ee]؋uE]EEۅݜuE]EEۅݜ$Ee]ЋuE]EEۅݜuE]EEۅݜ$Ee]EeeE@EE4ۅɋEE4ۅ@]tEp[^]ÐSingular matrix in routine ludcmp#B;UWVSLED$$&.EEE&E;E~]E&E;E~@EME]EEwE]؍EEzt$@6EEuE`E&E;E~cE&E;E|EME]E&E;E|IEUE4<
        !           118: EME7E]ȍE뭋EMEEEO]؋EEE;E~EME]E&E;E|IEUE4<
        !           119: EME7E]ȍE뭋EMEEEEEUEsE]؋EEEE;EE&E;E~EME]ЋEUE<4
        !           120: EME>EMEEEoUEEMEEEUE
        !           121: EMEzt#EME@E;EtwEME4]ЋE@EE;E~DEUE4<
        !           122: EMEM7E벍EED$D$&E$1L[^_]UWVSEE&E;E~EEEEE]؋EMEE}tMEEEH9E~TEUE
        !           123: EEE]؍EEuzEEEEEE%EE}EE]؋E@EE;E~<EUE
        !           124: EEE]؍E뺋E4}EMEE47E[[^_]pvProblem with prevalence resultfile: %s
1.1       lievre    125: 
1.2       lievre    126: #********** Variable V%d=%d **********
1.6       brouard   127: # Age Prev(%d) N(%d) NTotalSee log file for details...
                    128: Age %d %d.=%.0f loss[%d]=%.1f%% %d.=%.0f loss[%d]=NaNQ%% %d.=%.0f prev[%d]=%.1f%% %d.=%.0f prev[%d]=NaNQ%% %d %.5f %.0f %.0f %d NaNq %.0f %.0f %d%d=%.0fOthers in log...
1.7     ! brouard   129: (@|=Y@h㈵>UWVSl&]]ED$$&豊EED$ED$ED$$&褍ED$@$&ED$$r&D$'q@$&E}uAD$$ @-&D$D$ @oB$^&$B&ED$ED$PBED$D$PBED$$膎EE`BE=`BE&E,&E&E&E;E~oE&E؍U,E;
        !           130: ~DEEPBE9E~jEPBE9E~MEEE9E~3EUE܍
        !           131: EEE뤍EE&E;E~@EEE9E~&EMEE͍E]]E&E;E ~E&=`BE&E;`B~EȍE$ jBE
        !           132: EȍE$4}(EЍ
jBEȍ7uzEEL}&`BEE;PB~EU4E4<
        !           133: EM0E`@7]EMEzt)EUEE@P$d$
        !           134: EMEzt+EUEEP$d$
        !           135: EME<6&EME;E&EME4}EMEٽf
f٭۝٭47EME4}EME٭۝٭7E`uBE;PB EMEuEEHE&<4EMEٽf
f٭۝٭<>EMEuEEHE&<4EME٭۝٭>E`uBEMEuEEHE&E
        !           136: xEMEuEEHE&E
        !           137: HE`uB&EMEwIEUEEP$d$
        !           138: wEE]E]EE=`BD$H@E$裭&E&E;`B~|EȍE$4}(EЍ
jBEȍ7D$EȍE$D$D$_@E$&EwD$g@E$&E&E;E~(ED$ED$D$t@E$ά&ED$k.@E$贬&EEE9E~-E9EuD$@oB$~&5}&uE$@&ED$D$@oB$G&E&E;E~EE܍EPBE9E~eE܍4}EUE܍UE
        !           139: E7E댍E\E&E;E~&E]}~7E܍UE
        !           140: EE]EE܍Eh@s}&uMEp@ɋE܍E4\$E܉D$E܍E\$E܉D$$@v&Ep@ɋE܍E4\$E܉D$E܍E\$E܉D$D$@oB$p&k}&u.E܉D$E܍E\$E܉D$$΋@&E܉D$E܍E\$E܉D$D$΋@oB$&EdE&E;E~EE܍EPBE9E~eE܍4}EUE܍UE
        !           141: E7E댍E\E&]]E;E~@E܍EE]E܍MEE]EE&E;E~&Ex@s}&uME܍Ep@u\$E܉D$E܍E\$E܉D$$@%&E܍Ep@u\$E܉D$E܍E\$E܉D$D$@oB$&k}&u.E܉D$E܍E\$E܉D$$@虧&E܉D$E܍E\$E܉D$D$@oB$貧&E;EEx@shE\$E܍ME\$E܍MEu\$ED$D$@E$,&BE\$E܍ME\$ED$D$/@E$&EEPBE9E~&EPBE9E~E܍UE
        !           142: Euz}&uHE܍UE
        !           143: E\$ED$E܉D$$B@ҥ&E܍UE
        !           144: E\$ED$E܉D$D$B@oB$ѥ&E  EE;ED$k.@E$袥&}&u$M@@&D$k.@oB${&EEEEu `BE$膤&ED$ED$PBED$D$PBED$D$E$要ED$D$&E$yED$ED$ED$D$&E$}l&[^_]ÉError on individual =%d agev[m][i]=%f m=%d
        !           145: t&(@h㈵>UWVSE]E]E@]EH]Eٽvvf
ft٭t۝|٭vE٭t۝x٭vxD$|D$E$D$$&{EE`BE=`BE&E4&E&E;E~_E&EU4E;
        !           146: ~4EE&E;E$~F|Eȋx9E~&E̍MEȍEʍEE&E;E(~E&=`BE&E;`B~EaB jBEl
        !           147: hEaB4}0E
jBE7lhuzEEH}&EPEȋE;ET~EȍU<E̍4<
        !           148: EȍM8E̍0@7]EEstEEsbEȍM E̍zt,EȍU E̍x@P$d$
        !           149: EȍM E̍zt.EȍU E̍xP$d$
        !           150: EȍM E̍ٽvvf
ft٭t۝p٭vp;||DEȍM E̍٭t۝p٭vpx9;EȉD$EȍM E̍\$ẺD$$@ڟ&EȍME̍<&EȍME̍;E$&EȍME̍4}EȍM E̍ٽvvf
ft٭t۝p٭vpd47`EȍME̍4}EȍM E̍٭t۝p٭vp7E̍`uBd`EȍME̍Ux
        !           151: pEȍME̍Ux
        !           152: HE̍`uB&EE |E̋x9E~E&]E;E$~*EčME̍E]EE&E;E$~pE;x^E8@sJE̍UEč
        !           153: E4<EčME̍u7E농E"EExD$|D$E$D$D$&E$vĬ[^_]ÐWarning! None valid information for:%ld line=%d (skipped) and may be others, see log file
        !           154: t&Warning! None valid information for:%ld line=%d (skipped)
        !           155: t&Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d
        !           156:     We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview.
        !           157:   You MUST fix the contradiction between dates.
        !           158: Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d
        !           159:  Delay (in months) between two waves Min=%d Max=%d Mean=%f
        !           160: 
        !           161:  v@p@(@?UStE]EPdB&uBdBE&E;E,~e&EE$EEME;E0~VEME<~%EEUEE
        !           162: E;E(|E놋EME;E0~%EEUEE
        !           163: EUE
        !           164: }ut`B}u0ED$EdBD$$@B&E&}&u2ED$EdBD$D$ @oB$S&EE&E;E,~  E&EUE;
        !           165: |}4&EME&EEHE&ME;E0}EE@wEE@ɋEMEM E@@$O&}Ef
fEm]mƃ}uE&}`BEEHE&MED$$EMEMED$ EMEM E\$ED$EdBD$EEHE&D$EMED$ED$$`@v&E&E4D$$@\&EEHE&MED$(EMEMED$$EMEM E\$ED$EdBD$EEHE&D$EMED$ED$D$`@oB$脔&E4D$D$@oB$h&EE;uB|EuBE;PdBEPdBEE]5EEHE&M E@ɋEMEM E@@$ϒ&}Ef
fEm]mƍEE;uB|
        !           166: EuBE;PdBEPdB}M`BEEHE&MED$$EMEMED$ EMEM E\$ED$EdBD$EEHE&D$EMED$ED$$@ۑ&EEHE&MED$(EMEMED$$EMEM E\$ED$EdBD$EEHE&D$EMED$ED$D$@oB$&EE]ȋUM4MЋM9EEE܋E܉U4E)ЉEԋE@U4E)ЉE؃=bB&}uFEUEE܉
        !           167: EME4&EUEE@
        !           168: EUEE؉
        !           169: E9EBEUEE܉
        !           170: EUEEԉ
        !           171: AEUEE@
        !           172: EUEE؉
        !           173: EME<uAEME&EUEE؉
        !           174: EEEEdBdB\$uBD$PdBD$$`@蔎&dB\$uBD$PdBD$D$`@oB$賎&t[]UStE&EE`BEE;E|EDEE&}~E`pBEE&dB&`B9E~P&E&E;E~aEE
 jBE}Ef
fEm]mEDE;E~EEEEE;E~#E|tE`pBEE&E&E`pBE;
        !           175: ~xEE;E~]E|t2EEUEE
        !           176: EE`pBE;
        !           177: ~E뙍EnEEE;E|EDEE&@uB9E~!EEEEDEE&E&E;E~7E|t&E;lBEaBE
        !           178: EE뿋EH`Bt[]# Health expectancies
1.6       brouard   179: # Age %1d-%1d (SE)Problem %d lower than %d
1.7     ! brouard   180: %d|%3.0f %9.4f (%.4f)t&@`@(@?@UWVS&E D$ED$EED$D$&EED$$&dEPBD$$&_EPBD$D$&EED$$&bEEED$D$&EED$$&bED$@oB$Ċ&D$@oB$诊&E&E;E~BE&E;E~*ED$ED$D$@oB$j&E̍ED$k.@oB$G&E0;E}ED$E0D$$ɶ@Չ&E0EUE$Ћ$9$$E@]E]E Es
Ee@E@$&}Ef
fEm]mU؍M$Ћ$9$$EED$D$PBED$D$&PBED$$&bEEED$D$&PBD$D$&ED$$obEEED$D$&ED$$`EEED$D$&ED$$p`EE,D$(E(D$$E$D$ ED$ED$ED$ED$E\$ED$E$LjEEP$d$@]E&E;PB~E&E;PB~qEEUUEEݝxE;EuEE4݅xݝp݅xݝp݅pEUE낋E,D$(E(D$$E$D$ ED$ED$ED$ED$E\$ED$E$LJEE&E;E~E&E;E~EEE܍MEЍEH9E~E܍UEl
        !           181: hEUE
        !           182: E܍4<EUE
        !           183: E7@lhE]EEE&E;PB~EdM`EEݝXE;EuEE4݅X$ݝP݅XݝP݅Pd`EpE,D$(E(D$$E$D$ ED$ED$ED$ED$E\$ED$E$ՅEE&E;E~E&E;E~EEE܍MEЍEH9E~E܍UEL
        !           184: HEUE
        !           185: E܍4<EUE
        !           186: E7@LHE]EEE&EE9E~EEH9E~E܍UE
        !           187: ED@E܍UE4<
        !           188: E܍ME7$@EE44D@EXE6ECPBD$D$&EED$D$&ED$$\EEEH9E~E&EE9E~yE&E;PB~[E܍UE
        !           189: E4<E܍UE
        !           190: E7E똍EyEZE&}Ef
fEEE9E~[E&EE9E~?EUE
        !           191: Em]mEE볍EEm]mED$$@謁&B $茁&E}Ef
fEm]mED$D$@oB$赁&oB$H&EEH9E~&EEH9E~&E8D$ PBD$D$&PBD$D$&EED$D$&E܍ED$E$lEԍED$ EED$D$&PBD$D$&EED$D$&ED$E$E&EE9E~E&EE9E~EUE
        !           192: E}Ef
fEm]mE<8EUE
        !           193: Em]mE4<EMEMM7<8E1EE8EE&E;E~&E&E;E~c&EEUE
        !           194: E}Ef
fEm]mEEH9E~EUE
        !           195: Em]mE40EUE
        !           196: Em]mE,(EUE
        !           197: E܍4<EUE
        !           198: E7@M,(40EEErE\$D$@oB$     ~&EE&E;E~E&E;E~EEЍUEЍ
        !           199: E}Ef
fEm]mE$|&\$EUE
        !           200: E}Ef
fEm]mE\$D$@oB$&}&E5ED$k.@oB$|&EED$D$&ED$D$E$UEED$D$&ED$D$E$UEED$D$&PBD$D$&ED$D$E$      YPBD$D$&EED$D$&ED$D$E$XED$D$PBED$D$&PBED$D$&E$XE]$k.@z{&D$k.@oB${&PBD$D$&E$PPBD$D$&EED$D$&E$dTEED$D$&EED$D$&E$3TE D$ED$EED$D$&EED$D$&E$W&[^_]-populbased-mobilav--populbased-nomobil--stablbased-& Error in movingaverage mobilav=%d
        !           201: prmorprev%-d&'Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' 
1.6       brouard   202: # probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()
1.7     ! brouard   203: # Age cov=%-d p.%-d SE w%1d p%-d%-d
        !           204: # Routine varevsij
1.6       brouard   205: <li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>
                    206: 
                    207: <br>%s  <br>
                    208: # Variance and covariance of health expectancies e.j 
                    209: #  (weighted average of eij where weights are the stable prevalence in health states i
                    210:  Cov(e%1d, e%1d)%3d %d  %11.3e %11.3e %11.3e %11.3e %.0f  %.4f&'
                    211: set noparametric;set nolabel; set ter png small;set size 0.65, 0.65
                    212:  set log y; set nolog x;set xlabel "Age"; set ylabel "Force of mortality (year-1)";t&'
                    213:  plot "%s"  u 1:($3) not w l 1 
                    214:  replot "%s"  u 1:(($3+1.96*$4)) t "95%% interval" w l 2 t&
                    215:  replot "%s"  u 1:(($3-1.96*$4)) not w l 2 
                    216: <br> File (multiple files are possible if covariates are present): <A href="%s">%s</a>
1.7     ! brouard   217: varmuptjgr
        !           218: <br> Probability is computed over estepm=%d months. <br> <img src="%s%s.png"> <br>
        !           219: 
        !           220: set out "%s%s.png";replot;
        !           221: @`@(@?@UWVS<E$]E,]E@]Ѓ}X&u6}\tD$@($t&.D$@($t&D$@($t&}\D$D$&D$D$&D$$&MTE\D$TD$E\$E\$ppB$tt/E\D$D$@oB$t&E\D$$@s&D$$@$t&EHD$D$.@L$bs&LD$$zs&(D$$bs&D$PsB$Ls&D$'q@$r&nB=nBu5D$$)q@s&D$D$)q@oB$3s&D$$@@r&D$D$@@oB$r&ELD$D$@nB$r&EHD$D$&@nB$r&E@EPBE9E~eED$D$4@nB$r&E&E;E~1ED$ED$ED$D$>@nB$Yr&EōED$k.@nB$6r&D$L@ tB$!r&D$`@gB$r&(D$D$@gB$q&PBED$E@D$PBED$E@$IxD$ @PfB$q&D$@PfB$q&E&E;E~BE&E;E~*ED$ED$D$@PfB$Lq&E̍ED$k.@PfB$)q&PBD$$&EEPBD$D$&ED$$&HE̋ED$D$&ED$$&HEȡPBD$D$&PBED$E@$`HEġPBED$E@D$PBED$E@$1HEPBED$E@D$PBD$$&HEPBED$E@$DEPBED$E@$D|PBD$D$&PBED$E@$GEEL;E }E D$ELD$$ɶ@go&ELEUE Ћ9Ex@ݝ`Eݝh݅hEs&݅`ܥh@E @$fn&ٽf
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        !           222: E&E;PB~EUEEݝE;Pu!PE݅ݝx݅ݝx݅xEjEHD$(E8D$$E4D$ E D$ED$ED$ED$݅h\$ED$t$mEHD$$E\$E8D$E4D$݅h\$ED$ED$E<$ob}X&@&}\E&E;E~"&EU<E4<
        !           223: ݅hٽf
f٭۝٭ppBE
        !           224: EH7ElE&E;E~EU<E4<
        !           225: ݅hٽf
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        !           226: EH7ElE&E;E~&EE;E~E&EMEE;E~EUEt
        !           227: pEUEl
        !           228: hEU<E4<
        !           229: EtE
        !           230: E7lhtpE;EEE@EPBE9E~E&EEE;E~EdU`E\}EU<EX4
        !           231: EtEX\d`EaE,E&E;PB~ETEPEEݝHE;Pu!PE݅H$ݝ@݅Hݝ@݅@TPEjEHD$(E8D$$E4D$ E D$ED$ED$ED$݅h\$ED$t$iEHD$$E\$E8D$E4D$݅h\$ED$ED$E<$]}X&@&}\E&E;E~"&EU<E4<
        !           232: ݅hٽf
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        !           233: EH7ElE&E;E~EU<E4<
        !           234: ݅hٽf
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        !           235: EH7ElE&E;E~&EE;E~E&EMEE;E~EUE<
        !           236: 8EUE4
        !           237: 0EU<E4<
        !           238: EtE
        !           239: E740<8E;EEE@EPBE9E~E&E|E;E~E,|(E$|EU<E 4
        !           240: EtE $,(E[E#E&E;E~EE;E~EUP
        !           241: EEUE4<
        !           242: EME7$@PE4ESE5E@EPBE9E~ePUE4<
        !           243: EME|$@PE47E댍PPBD$D$&ED$D$&ED$$<EEE;E~E&E;E~DžP&P;PB~dEUE
        !           244: P4<EUP
        !           245: E7P댍EkEME@EPBE9E~kDžP&P;PB~JEUP<4
        !           246: PME>P릍E놋EE P$d$@ݝXE&E;E~E&E;E~fEUE
        !           247: ݅hٽf
f٭۝٭E됍ErEE;E~&EE;E~&ED$ PBD$D$&PBD$D$&ED$D$&EED$Ẻ$_`EED$ ED$D$&PBD$D$&ED$D$&ẺD$Eȉ$
        !           248: `E&E;E~    &E&E;E~EUE
        !           249: ݅hٽf
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        !           250: ݅h٭۝٭4<EMȋE܍X܍X7EEE EED$ PBD$D$&PBD$D$&PBED$E@D$ED$Eĉ$^ED$ PBED$E@D$PBD$D$&PBED$E@D$EĉD$E$8^E@EPBE9E~aE@EPBE9E~DExE<4
        !           251: EME>E뭍E됋EHD$(E8D$$E4D$ E D$ED$ED$ED$݅h\$ED$t$^EHD$$E\$E8D$E4D$݅h\$ED$ED$E<$yS}X&:&}\E&ٽf
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        !           252: ݅h٭۝٭ppBE
        !           253: EH>EE&ٽf
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        !           257: ݅hٽf
f٭۝٭\$D$@PfB$Y&EsEUD$k.@PfB$~Y&ED$D$&ED$D$E$O2ED$D$&ED$D$E$&2ED$D$&PBD$D$&ED$D$E$5PBD$D$&ED$D$&ED$D$E$\5ED$D$PBED$D$&PBED$D$&t$5݅hݝhPBED$E@D$E$.-PBED$E@D$|$-PBED$E@D$PBD$D$&E$0PBD$D$&PBED$E@D$E$0D$@ tB$W&D$`@ tB$W&$4D$D$@ tB$lW&$t4D$D$@ tB$EW&$M4D$D$@@ tB$W&$&4Í$4\$D$D$@gB$V&(D$D$@E$4LD$T$ELD$D$@gB$V&(D$D$@E$64LD$T$D$U@ tB$XV&PBD$D$&E$++ED$D$&ED$D$&Eȉ$
/PBD$D$&ED$D$&Ẻ$.PBED$E@D$PBED$E@D$E$.PBD$D$&PBED$E@D$Eĉ$.PBED$E@D$PBED$E@D$x$I.}\t>D$D$&D$D$&D$D$&T$1nB$>T& tB$T&gB$T&<[^_]É'# Standard deviation of stable prevalences 
        !           258:  %1d-%1d %.5f (%.5f)t&@`@(@?@UWVSE$]E,]E@]D$@hB$5T&D$@hB$ T&E&E;E~*EȉD$EȉD$D$
@hB$S&ED$k.@hB$S&PBD$$&e(EPBD$D$&ED$$&X+EЋED$D$&ED$$&3+EEUE LЋL9LLE(@]E]EEsEe0@E 8@$+R&}Ef
fEm]mE 0@sE&UMLЋL9LLEED$D$&PBD$$&B*EED$$&'EED$$&&EE&E;PB~E&E;PB~zEEU|EȍEݝpE;EuEE݅pݝh݅pݝh݅hE|EyEHD$$E\$E8D$E4D$E\$ED$ED$E<$FE&E;E~4Eȍ<uEȍM<Eȍ>EE&E;PB~EdE`EȍEݝXE;EuEE݅X$ݝP݅XݝP݅Pd`EpEHD$$E\$E8D$E4D$E\$ED$ED$E<$EE&E;E~4Eȍ<uEȍM<Eȍ>EE&E;E~\EUEȍ4<
        !           259: EȍMEȍE$@@EE47E뚍ERPBD$D$&ED$$&:'EE&E;E~\E&E;PB~AEčUE<4
        !           260: EMEč>E벍EE&E;E~AEȍ]E}Ef
fEm]mEE뵋ED$ PBD$D$&PBD$D$&ED$D$&ED$EЉ$MED$ ED$D$&PBD$D$&ED$D$&EЉD$Ẻ$kME&E;E~\EȍME}Ef
fEm]mE<4EȍM̋Eȍ>EE\$D$@hB$M&E&E;E~Eȍ]E}Ef
fEm]mE$eL&\$EȍM<Eȍ\$D$@hB$M&EoD$k.@hB$L&ED$D$&E$!ED$D$&E$!ED$D$&PBD$D$&E$%PBD$D$&ED$D$&E$\%E]#PBD$D$&E$&!PBD$D$&ED$D$&Ẻ$%ED$D$&ED$D$&EЉ$$[^_]probprobcovprobcorComputing standard deviation of one-step probabilities: result on file '%s' 
1.6       brouard   261: Computing matrix of variance covariance of one-step probabilities: result on file '%s' 
                    262: &and correlation matrix of one-step probabilities: result on file '%s' 
                    263: #One-step probabilities and stand. devi in ()
                    264: #One-step probabilities and covariance matrix
                    265: #One-step probabilities and correlation matrix
                    266:  p%1d-%1d (SE) p%1d-%1d 
                    267: # Routine varprobv
                    268: <li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>
                    269: 
1.7     ! brouard   270: <li><h4> <a href="%s">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>
        !           271: 
        !           272: <h4>Matrix of variance-covariance of pairs of step probabilities</h4>
        !           273:   file %s<br>
        !           274: v'
        !           275: Ellipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimatedand drawn. It helps understanding how is the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>
        !           276: 
        !           277: <br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance 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> Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix and made the appropriate rotation to look at the uncorrelated principal directions.<br>To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> 
1.6       brouard   278: **********
                    279: #
1.7     ! brouard   280:  V%d=%d 
1.6       brouard   281: <hr  size="2" color="#EC5E5E">********** Variable **********
                    282: <hr size="2" color="#EC5E5E">
                    283: %d %11.3e (%11.3e) %11.3e 
                    284: %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
                    285: Others in log...
                    286: '%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f
                    287: 
                    288: set parametric;unset labelv
                    289: set log y;set log x; set xlabel "p%1d%1d (year-1)";set ylabel "p%1d%1d (year-1)"&'
                    290: set ter png small
1.7     ! brouard   291: set size 0.65,0.65varpijgr
        !           292: <br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href="%s%d%1d%1d-%1d%1d.png">%s%d%1d%1d-%1d%1d.png</A>, 
        !           293: <br><img src="%s%d%1d%1d-%1d%1d.png"> 
1.6       brouard   294: <br> Correlation at age %d (%.3f),
1.7     ! brouard   295: set out "%s%d%1d%1d-%1d%1d.png"
1.6       brouard   296: set label "%d" at %11.3e,%11.3e center
                    297: # Age %d, p%1d%1d - p%1d%1d
                    298: 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),&'
                    299: 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
1.7     ! brouard   300: set out "%s%d%1d%1d-%1d%1d.png";replot;&@(@@UWVSE]E$]EEE&pAݝD$@$>&D$PsB$>&D$'q@$=&pdB=pdBu5D$$)q@9>&D$D$)q@oB$j>&D$@$t>&D$PsB$=&D$'q@$x=&uB=uBu5D$$)q@=&D$D$)q@oB$=&D$@$=&D$PsB$y=&D$'q@$<&fB=fBu5D$$)q@/=&D$D$)q@oB$`=&D$$@<&D$D$@oB$+=&D$$`@<&D$D$`@oB$<&D$$@<&D$D$@oB$<&D$ @pdB$<&D$@pdB$<&D$`@uB$<&D$@uB$m<&D$@fB$X<&D$@uB$C<&E&E;E~E&PBE9E~pEЉD$EԉD$D$@pdB$;&EЉD$EԉD$D$@uB$;&EЉD$EԉD$D$@fB$;&E끍EcPBD$$&4$PBD$D$&PBEED$$&,PBEED$D$&PBEED$$&(Eٽf
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        !           302: P$d$ݜEPBEED$D$&PBD$$&
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f٭۝٭D$E٭۝٭D$PBED$D$&ED$D$&$;Eٽf
f٭۝٭D$E٭۝٭D$PBU&¡PBE‰D$D$&$PBD$D$&$$pdB$&&uB$&fB$& tB$_&PjB$R&[^_]Ð<ul><li><h4>Result files (first order: no variance)</h4>
        !           318:   - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href="%s">%s</a> <br>
        !           319:  pij - Estimated transition probabilities over %d (stepm) months: <a href="%s">%s</a><br>
        !           320:  plt& - Stable prevalence in each health state: <a href="%s">%s</a> <br>
        !           321: e - Life expectancies by age and initial health status (estepm=%2d months):    <a href="%s">%s</a> <br>
        !           322: </li> 
1.6       brouard   323: <ul><li><b>Graphs</b></li><p><hr  size="2" color="#EC5E5E">************ Results for covariates ************
1.7     ! brouard   324: <hr size="2" color="#EC5E5E">pe<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s%d1.png<br> <img src="%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: %s%d2.png<br> <img src="%s%d2.png"><br>- Stable prevalence in each health state : p%s%d%d.png<br> <img src="%s%d%d.png">exp
        !           325: <br>- Health life expectancies by age and initial health state (%d): %s%d%d.png <br> <img src="%s%d%d.png"></ul>'
1.6       brouard   326: <br><li><h4> Result files (second order: variances)</h4>
                    327:  - Parameter file with estimated parameters and covariance matrix: <a href="%s">%s</a> <br>
1.7     ! brouard   328: ' - Variance of one-step probabilities: <a href="%s">%s</a> <br>
        !           329:  - Variance-covariance of one-step probabilities: <a href="%s">%s</a> <br>
        !           330:  - Correlation matrix of one-step probabilities: <a href="%s">%s</a> <br>
        !           331: v - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href="%s">%s</a><br>
        !           332: t - Health expectancies with their variances (no covariance): <a href="%s">%s</a> <br>
        !           333: vplt& - Standard deviation of stable prevalences: <a href="%s">%s</a> <br>
        !           334:  <ul><li><b>Graphs</b></li><p><br>- Observed (cross-sectional) and period (incidence based) prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br><img src="%s%d%d.png">
        !           335: <br>- Total life expectancy by age and health expectancies in states (1) and (2): %s%d.png<br><img src="%s%d.png">UWVSE4]EH]EP]EX]E`]Eh]Ep]D$@E$D$@E$\$<D$8E\$0E\$(E\$ E\$E\$E\$D$ +AgB$7
&D$+AE$D$+AE$m\$D$ED$D$,AgB$&D$X,AE$6D$X,AE$!\$D$D$`,AgB$&D$,AE$D$,AE$\$D$EDD$D$,AgB$Z&D$@-AgB$E&`B0jB=`B0jB&`pB&EE&E;0jB~E&E`pBE;
        !           336: ~E=`BD$`-AgB$&E&E;`B~EaB4=0gBE
jBE7D$EaBD$D$&@gB$&EkD$-AgB$&D$-A$lBJD$-A$lB4‹ED$\$ED$T$ED$D$.AgB$
        !           337: &D$-A$lBD$-A$lB‹ED$\$ED$T$ED$D$.AgB$D
        !           338: &E&E;PB|lD$@$lBzD$@$lBd‹ED$ED$\$ED$ED$T$D$/AgB$       &EE&E;PB~sD$/A$lBD$/A$lB‹ED$ ED$\$ED$ED$T$ED$D$0AgB$D  &E뀍E>ED$m0AgB$ &E<D$E<D$D$0AgB$&D$@E$<D$@E$'\$D$D$ 1AgB$&D$@E$D$@E$\$D$D$1AgB$g&D$@E$D$@E$\$D$D$1AgB$"&D$+2AE$mD$+2AE$X\$D$EDD$D$@2AgB$&D$2AE$!D$2AE$\$D$D$2AgB$&D$73AE$D$73AE$\$D$D$@3AgB$L&gB$&D$3AgB$*&`B0jB=`B0jB&`pB&EE&E;0jB~&E&E`pBE;
        !           339: ~&E=`BD$`-AgB$&E&E;`B~EaB4=0gBE
jBE7D$EaBD$D$&@gB$&EkD$-AgB$&E&E;PB~sD$+2A$lBD$+2A$lB‹ED$ ED$\$ED$ED$T$ED$D$3AgB$e&ED$,A$lBD$,A$lB‹ED$\$ED$T$D$`4AgB$&E#ED$m0AgB$&gB$q&Č[^_]cd "%s" 
        !           340: 
        !           341: set out "%s%d%d.png" 
1.6       brouard   342: 
1.7     ! brouard   343: #set out "v%s%d%d.png" 
        !           344: set xlabel "Age" 
1.1       lievre    345: set ylabel "Probability" 
1.6       brouard   346: set ter png small
                    347: set size 0.65,0.65
1.7     ! brouard   348: plot [%.f:%.f] "%s" every :::%d::%d u 1:2 "%%lf %%lf (%%lf) %%*lf (%%*lf)v" t"Stable prevalence" w l 0,"%s" every :::%d::%d u 1:($2+1.96*$3) "%%lf" t"95%% CI" w l 1,"%s" every :::%d::%d u 1:($2-1.96*$3) "%%lf" t"" w l 1,"%s" every :::%d::%d u 1:($%d) t"Observed prevalence " w l 2
        !           349: set out "%s%d.png" 
        !           350: set ylabel "Years" 
1.6       brouard   351: set ter png small
                    352: set size 0.65,0.65
1.7     ! brouard   353: plot [%.f:%.f] "%s" every :::%d::%d u 1:2 "%%lf" t"TLE" w l ," t"LE in state (%d)" w l ,"%s" every :::%d::%d u 1:($2-$3*2) "%%lf" t"" w l 0,v'"%s" every :::%d::%d u 1:($2+$3*2) "%%lf" t"" w l 0t&'set ter png small
1.6       brouard   354: set size 0.65,0.65
1.7     ! brouard   355: plot [%.f:%.f] "%s" every :::%d::%d u 1:%d t "e%d1" w lv ,"%s" every :::%d::%d u 1:%d t "e%d%d" w lset xlabel "Age" 
1.1       lievre    356: set ylabel "Probability" 
1.6       brouard   357: set ter png small
                    358: set size 0.65,0.65
1.7     ! brouard   359: unset log y
        !           360: plot [%.f:%.f] "%s" u ($1==%d ? ($3):1/0):($%d/($%d+$%d)) t"prev(%d,%d)" w l,"%s" u ($1==%d ? ($3):1/0):($%d/($%d)) t"prev(%d,%d)" w l
        !           361: p%d=%f 
1.6       brouard   362: set ylabel "Quasi-incidence per year"
                    363: 
                    364: set title "Probability"
                    365: 
                    366: set ter png small
                    367: set size 0.65,0.65
1.1       lievre    368: set log y
1.7     ! brouard   369: plot  [%.f:%.f]  %f*exp(p%d+p%d*x exp(p%d+p%d*x+p%d*%d*x+p%d*%d)/(1+exp(p%d+p%d*x)) t "p%d%d" ,&@(@UWVS&E]E]E ]ЋE(D$D$=A tB$`B\$CA$ٽvvf
ft٭t۝٭vED$8$OD$73A$9Dž&;PB~Dž&;~D$+2AE$*‹D$D$T$D$=A tB$D$D$ED$D$>A tB$mD$73AE$‹HD$ HD$T$E\$E\$D$@>A tB$Dž&;PB~D;uD$>A tB$D$>A tB$D$73AE$‹HD$HD$T$D$>A tB$yDž&;PB~D;uD$>A tB$<D$>A tB$%D$73AE$f‹HD$HD$T$D$@?A tB$Dž&;PB~D;uD$>A tB$D$>A tB$D$@E$‹D$HD$HD$T$D$?A tB$%&Dž&;~D$,AE$9‹D$T$D$?A tB$E\$E\$D$?A tB$Dž&PB@9~&D$2AE$‹HD$HD$T$D$@@A tB$$Dž&PB@9~D;uD$>A tB$D$>A tB$묃&uD$a@A tB$ HD$D$p@A tB$D$2AE$‹HD$HD$T$D$@A tB$BDž&PB@9~D;uD$>A tB$D$>A tB$D$@A tB$D$2AE$‹HD$HD$T$D$@A tB$Dž&PB@9~D;uD$>A tB$ND$>A tB$7묡PB@9uD$  AA tB$
        !           370: D$@A tB$]Dž&;~&Dž&;PB~b&&PBD$/AE$‹D$D$T$D$=A tB$BD$,AE$‹D$(D$$HD$ HD$T$E\$E\$D$ AA tB$Dž&;PB|xD$,AE$
‹@D$D$&D$HD$HD$T$D$AA tB$WxaDž&;~XDž&;PB~.DžD$@E$7‹D$D$T$D$=A tB$D$+AE$‹@D$$@D$ D$T$E\$E\$D$AA tB$HDž&;PB|0@D$D$QBA tB$@D$D$D$VBA tB$PBPB|D$+AE$‹|@D$|@D$D$T$D$BA tB$eDž&;PB|KPBPB||@D$D$QBA tB$
        !           371: 륋@D$@D$D$BA tB$Dž&Dž&;PB~Dž&PBPB9~;twDž&;@uB~]E,\$D$D$BA tB$D$k.@ tB$듍V,Džx&x~Dž&;~D$-AE$‹xD$D$T$D$=A tB$\xuD$BA tB$>D$CA tB$'E\$E\$D$@CA tB$Dž&Dž&;PB~Dž&PBPB9~;xu>@D$D$PBCA\$D$CA tB$X*@D$D$D$CA tB$,Dž&Dž;@uB~U&aB;;`BaB4=0gBjBaB7D$HD$D$CA tB$C|aB50gBjB
        !           372: D$HD$D$CA tB$D$CA tB$Dž&;PB~H@uB@D$H@uBD$D$CA tB$8Dž&Dž;@uB~t&aB;;`BaB4=0gBjBaB7D$H@uBHD$D$CA tB$AaB50gBjB
        !           373: D$H@uBHD$D$CA tB$yD$CA tB$D$D$D$CA tB$R&¡PB&PB9tD$CA tB$@uB&<8x tB$oļ&[^_]UWVSTE]E]E&`B&EЃ=`BE&} &t} t} t} t} &u       EE EE]EEsE&E;PB~E&E;E~E}Ef
fEm]mEUE܍
        !           374: Eԍ<4Em]mEUE܍
        !           375: Eԍ>EnEME]%EE;E~UJP$d$E]UJP$d$EEsE&E;PB~E&E;E~tE}Ef
fEm]mEUE܍
        !           376: Eԍ<4Em]mEUE܍
        !           377: Eԍ>E&UJ9E~\&Em]mEUE܍
        !           378: EE<Em]mEUE܍
        !           379: EE4Em]mE+E؍UE܍
        !           380: EԍMEEm]mEUE܍
        !           381: EE<Em]mEUE܍
        !           382: EE4Em]mEE؍UE܍
        !           383: EԍMEEEm]mEUE܍
        !           384: Eԍ4<Em]mEUE܍
        !           385: EԍE7EE^E]EȃEEET[^_]f&Problem with forecast resultfile: %s
1.5       lievre    386: Computing forecasting: result on file '%s' 
1.6       brouard   387: # Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f 
                    388: #****** Routine prevforecast **
                    389: 
                    390: #****** V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ******
                    391: t&'# Covariate valuofcovar yearproj age p%d%d p.%d&'
1.7     ! brouard   392: # Forecasting at date %.lf/%.lf/%.lf %d %d %.f %.f  %.3fv@`@(@>@?UWVS&E]E]E]E$]E,]E4]E<]EH]EP]E`]\AݝXE\D$LEXD$HE\$@E\$8`fBD$4pBD$0`pBD$,0gBD$(aBD$$0uBD$ PBD$nBD$`dBD$E\$E\$ppB$@D$wZAx$>ED$x$D$'q@x$CbB=bBu5xD$$ZAxD$D$ZAoB$xD$$ZAJxD$D$ZAoB${}luEl`pB&}DD$D$&D$D$&D$$&蒽EDD$D$E\$E\$ppB$+t/EDD$D$@oB$EDD$$@lPB\Aٽvvf
ft٭t۝p٭vpP$d$\A٭t]٭v=PBE&oB;PB} PBD$oBD$$ɶ@oBEE=PBEHD$ `B$&ݝ@݅Hݝ HD$݅@\A$ݝ8݅Hݝ(HD$݅8\A$ݝ@݅Hݝ0݅0ztݝ0݅(ztݝ0Ell=`B
        !           393: Džl&E\$0E\$( `B\$ ݅ \$݅(\$݅0\$D$[AbB$D$`[AbB$nB&EnB;l~Džx&El`pBx;
        !           394: ~bED$[AbB$^E&E;El~EaB4=0gBE
jBE7D$EaBD$D$[AbB$EnD$[AbB$D$\AbB$E&PBPB9E~mDžt&t;PB~0ED$tD$D$%\AbB$BtED$D$,\AbB$EEEEesD$k.@bB$EE\$E\$E\$D$@\AbB$Eݝ`E݅`se݅Xܥ`\APB\A$ٽvvf
ft٭t]٭vUMdЋd9ddEED$D$PBPBD$D$&PBPBD$$&LpfBgBnBoBED$(oBD$$gBD$ PBD$PBD$EhD$ED$݅`\$ED$$Džpp;E~pEP$d$\APBEztD$k.@bB$E&E;El~EaB4=0gBE
jBE7D$EaBD$D$g\AbB$vEnpEP$d$\APB܅`\$EE\$D$n\AbB$!E&PBPB9E~hݝPDžt&t;PB~&}D&tE
        !           395: p4<݅`ٽvvf
ft٭t۝p٭vpt
        !           396: x7݅PݝPtE
        !           397: p4<݅`ٽvvf
ft٭t۝p٭vpppBt
        !           398: x7݅PݝPpEP$d$\APBEztLtE
        !           399: p\$D$w\AbB$tpEP$d$\APBEzt݅P\$D$w\AbB$Ep1ED$D$PBPBD$D$&PBPBD$D$&$݅`ݝ`UE&x~nBW}Dt>D$D$&D$D$&D$D$&$kbB$&[^_]poprProblem with population file : %s
1.5       lievre    400: %d %lf
1.6       brouard   401:  P.%d [Population]
1.1       lievre    402: 
1.5       lievre    403: # Forecasting at date %.lf/%.lf/%.lf 
1.7     ! brouard   404:  %3.f  %15.2f@`@(@v@?UWVS&E]E]E]E$]E,]E4]E<]EH]EP]E`]D$D$&D$D$&D$$&8D$D$&D$D$&D$$&賱4iAݝXEiAEEiA% `BiAݝ`PBD$L`BD$HE\$@E\$8`fBD$4pBD$0`pBD$,0gBD$(aBD$$0uBD$ PBD$nBD$`dBD$E\$E\$ppB$3D$&iA$ED$$
        !           405: D$'q@$ qB= qBu5D$$ZAD$D$ZAoB$D$$ZAD$D$ZAoB$=`Bu`B`pB&}DD$D$&D$D$&D$$&ί0EDD$0D$E\$E\$ppB$gt/EDD$D$@oB$EDD$$@PBiAٽf
f٭۝٭P$d$iA٭]٭=PBE&iAݝXE&E=PBE}X&Y&D$iAE\$qB=qBuE\D$$ iA$
D$$2lD$$虩DD$$@Džt&t@D$tlD$D$CiAqB$||u
        !           406: t몋t0uBDžt&t;0uB|FtlDt@tnB&EnB;El~2Džx&`B`pBx;
        !           407: ~
ED$[A qB$E&E;`B~EaB4=0gBE
jBE7D$EaBD$D$&@ qB$EkD$[A qB$D$@ qB$E&PBPB9E~#ED$D$KiA qB$E˃}X&uD$QiA qB$E}~EE\$E\$E\$D$`iA qB$B݅`ٽf
f٭۝٭*)‰&&)P$d$iAE]݅`٭۝٭*)‰&&)P$d$iAEEs݅XeiAPBiA$ٽf
f٭]٭UMЋ9EED$D$PBPBD$D$&PBPBD$$&2<pfBgBnBoBED$(oBD$$gBD$ PBD$PBD$EhD$ED$E\$ED$<$Džpp;E~4EiA܅`ٽf
f٭۝٭9puVpEP$d$iAPBE\$D$iA qB$ٽf
fE&PBPB9E~&ݝPݝHDžt&t;PB~6&}D&t<E
        !           408: p<4E٭۝٭0Pt
        !           409: x>݅PݝPt<E
        !           410: p4<E٭۝٭ppBt
        !           411: x7݅PݝPtU&&P$d$܅`٭۝٭9puNE٭۝٭8E
        !           412: x݅PEDžt&t;PB~~&ݝPE&E;PB~[E٭۝٭8E
        !           413: x݅PݝPEE٭۝٭4t
        !           414: x4<E٭۝٭8t
        !           415: xܵPU&&P$d$܅`EiAPBE٭۝٭D7toU&&P$d$܅`٭۝٭9pE&E;PB~Eٽf
f٭۝٭4E
        !           416: x\$D$iA qB$EipED$D$PBPBD$D$&PBPBD$D$&<$]E]ٽf
fEE&EEesEE\$E\$E\$D$`iA qB$?݅`ٽf
f٭۝٭*)‰&&)P$d$iAE]݅`٭۝٭*)‰&&)P$d$iAEEs݅XeiAPBiA$|ٽf
f٭]٭UMЋ9EED$D$PBPBD$D$&PBPBD$$&/<pfBgBnBoBED$(oBD$$gBD$ PBD$PBD$EhD$ED$E\$ED$<$Džpp;E~&EiA܅`ٽf
f٭۝٭9pu>pEP$d$iAPBE\$D$iAbB$E&PBPB9E~?&ݝPݝHDžt&ٽf
ft;PB~t<E
        !           417: p<4E٭۝٭4Pt
        !           418: x>݅PݝPtVU&&P$d$܅`٭۝٭9pu݅P\$D$iAbB$]Ep&ED$D$PBPBD$D$&PBPBD$D$&<$蟢E]ٽf
fEIxnB}Dt>D$D$&D$D$&D$D$&0$}X&uZD$D$l$踚D$D$D$D$D$@$D$D$&D$D$&D$D$&8$tD$D$&D$D$&D$D$&4$6 qB$&[^_]aProblem with file: %s
        !           419: UD$6~AE$E}u8ED$$8~AED$D$8~AoB$EE$E&E# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
        !           420: %1d%1d 0.# Scales (for hessian or gradient estimation)
        !           421: # Covariance matrix
        !           422: #%1d%1d%d%1d%1d%d Cov(%s%1d%1d,%s%1d%1d) Var(%s%1d%1d)U$~AD$~AE$E&E;E~DžtE&EE9E~E;EutED$ED$$~A6ED$ED$D$~AE$eE&E;E~&$AD$AE$5E$k.@D$k.@E$E@E$ AD$ AE$EEHEEpE&E;E~DžtE&EE9E~E;EutED$ED$D$~AE$\ED$ED$$~AB $E&E;E~&$AD$AE$EЍh$k.@D$k.@E$E(E$OAdB $DD$OAE$Džl&l~(DžtE&E;E~E&EE9E~E;EuE&E;E~tE`EEl&uKED$ED$ED$$dA蔿ED$ED$ED$D$dAE$輿IED$ED$ED$$nAIED$ED$ED$D$nAE$qDžxE&E;E~&E&EE9E~&E;Eux&Dž|&|;E~^&xx;t7&|`EEx;tl&uxED$ED$ED$ED$ED$E؉D$$wAJED$ED$ED$ED$ED$E؉D$D$wAE$]$AD$AE$9sl&uKED$ED$E؉D$$A载ED$ED$E؉D$D$AE$$A臽D$AE$Ľ|EaEC$k.@GD$k.@E$脽hEBEElÍ&(@.@Uh]]]EE0uBH9E~3Eԍ`uBE]E]E]؍EE0uBH9E~EԍtB<&ȋEԍpqB<&!ȅEE0]ȋEhAEԍuBhAɋPB&&P$d$$x]EhAEԍjBhAɋPB&&P$d$$(mM]EԍtB<ȋEԍpqB<&!ȅ8&EE0]EhAEԍtBhAɋPB&&P$d$$聻]EhAEԍjBhAɋPB&&P$d$$1mE]EhA$EEhAEԍtBhAɋPB&&P$d$]hA$豹E]EԍpqB<&ȋEԍuBpA!ȅtEԍ`uBEE]EExAMuÐ<ul><li><h4>Result files </h4>
        !           423:  Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):<br>  mu(age) =%lf*exp(%lf*(age-%d)) per year<br><br> p[%d] = %lf [%f ; %f]<br>
        !           424: <br><br><img src="graphmort.png">UWVS<D$AgB$萸PBD$E,\$E,\$D$AgB$ZE&}~E4},EM0E$67]E4},EM0E$7E\$\$EE,\$ED$D$AgB$蘷E;D$AgB$yD$m0AgB$dgB$<[^_]set out "graphmort.png"
        !           425:  t&set xlabel "Age"
        !           426:  set ylabel "Force of mortality (per year)" 
        !           427:  set ter png small
        !           428:  set log y
        !           429: set size 0.65,0.65
        !           430: &'plot [%d:100] %lf*exp(%lf*(x-%d))U&E]E]E ]E(D$D$=A tB$WED$H$bD$73A$LD$aA tB$D$A tB$D$A tB$D$ދA tB$صPBD$E,\$E,\$PBD$D$A tB$虵bcdc
        !           431: %s
        !           432: %s
        !           433: Enter the parameter file name: %spathimach=%s, pathtot=%s,
        !           434: path=%s,
        !           435: optionfile=%s 
        !           436: optionfilext=%s 
        !           437: optionfilefiname=%s
        !           438: mkdir Problem creating directory or it already exists %s%s, err=%d
1.6       brouard   439: .logProblem with logfile %s
                    440: Log filename:%s
1.7     ! brouard   441: 
        !           442: Enter the parameter file name: 
        !           443: pathimach=%s
        !           444: pathtot=%s
        !           445:  path=%s 
        !           446:  optionfile=%s
        !           447:  optionfilext=%s
        !           448:  optionfilefiname=%s
        !           449: Local time (at start):%sLocal time (at start): %s.txtProblem with optionfile %s
        !           450: oProblem with Output resultfile: %s
1.5       lievre    451: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6       brouard   452: ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s
                    453: title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
                    454: ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d
1.5       lievre    455: model=%s
1.7     ! brouard   456:  You choose mle=-1, look at file %s for a template of covariance matrix 
        !           457:  You choose mle=-3, look at file %s for a template of covariance matrix 
        !           458: Error in line parameters number %d, %1d%1d instead of %1d%1d 
        !           459:  %lf%le %le %.5leProblem writing new parameter file: %s
1.5       lievre    460: #%s
                    461: Problem with datafile: %s
1.7     ! brouard   462: ageage*ageError. Non available option model=%s Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased
        !           463: Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.
        !           464: Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.
        !           465: Warning negative age at death: %ld line:%d
        !           466: Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d
1.6       brouard   467: Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f
1.1       lievre    468: 
1.7     ! brouard   469: -mort.gpProblem with file %s
        !           470: # %s
        !           471: # %s
        !           472: set missing 'NaNq'
        !           473: .htmProblem with %s 
        !           474: -cov.htm<body>
        !           475: <title>IMaCh Cov %s</title>
        !           476:  <font size="2">%s <br> %s</font> <hr size="2" color="#EC5E5E"> 
        !           477: Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
        !           478: '<body>
        !           479: <title>IMaCh %s</title>
        !           480:  <font size="2">%s <br> %s</font> <hr size="2" color="#EC5E5E"> 
        !           481: Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
        !           482: 
        !           483: <hr  size="2" color="#EC5E5E"> <ul><li><h4>Parameter files</h4>
        !           484:  - Copy of the parameter file: <a href="o%s">o%s</a><br>
        !           485:  - Log file of the run: <a href="%s">%s</a><br>
        !           486:  - Gnuplot file name: <a href="%s">%s</a><br>
        !           487:  - Date and time at start: %s</ul>
        !           488: <br>Total number of observations=%d <br>
        !           489: Youngest age at first (selected) pass %.2f, oldest age %.2f<br>
        !           490: Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>
        !           491: pow-mort
        !           492: Covariance matrix
        !           493:  %f 
        !           494:  iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))
        !           495: %f [%f ; %f]
        !           496: 'First Likeli=%12.6f ipmx=%ld sw=%12.6f %d %8.5f
Second Likeli=%12.6f ipmx=%ld sw=%12.6ftitle=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d
1.6       brouard   497: ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d
1.5       lievre    498: model=%s
1.7     ! brouard   499: %d%d %1d%1d  %.5e# Covariance matrix 
1.6       brouard   500: # 121 Var(a12)
                    501: # 122 Cov(b12,a12) Var(b12)
                    502: #   ...
                    503: # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
1.7     ! brouard   504: &agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d
1.6       brouard   505: '# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).
                    506: t&agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d
                    507: 'begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d
                    508: begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d
1.5       lievre    509: pop_based=%d
1.6       brouard   510: prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d
                    511: vprevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d
1.7     ! brouard   512: Problem with stable prevalence resultfile: %s
1.6       brouard   513: Computing stable prevalence: result on file '%s' 
                    514: #Stable prevalence 
1.7     ! brouard   515: #Age %d-%d  %.5ft&Problem with Pij resultfile: %s
1.1       lievre    516: Computing pij: result on file '%s' 
1.6       brouard   517: #****** h Pij x Probability to be in state j at age x+h being in i at x 
1.7     ! brouard   518: #****** '# Cov Agex agex+h hpijx with i,j=%d %3.f %3.fProblem with total LE resultfile: %s
1.1       lievre    519: Computing Total LEs with variances: file '%s' 
                    520: Problem with Health Exp. resultfile: %s
                    521: Computing Health Expectancies: result on file '%s' 
1.7     ! brouard   522: t&'Problem with variance resultfile: %s
1.1       lievre    523: Computing Variance-covariance of DFLEs: file '%s' 
1.7     ! brouard   524: #Total LEs with variances: e.. (std) e.%d (std)  %4.0f %7.3f (%7.3f)Problem with variance of stable prevalence  resultfile: %s
1.6       brouard   525: t&Computing Variance-covariance of stable prevalence: file '%s' 
1.7     ! brouard   526: End of Imach with %d errors and/or %d warnings
        !           527: End of Imach with %d errors and/or warnings %d
1.1       lievre    528: End of Imach
1.6       brouard   529: See log file on %s
1.7     ! brouard   530: &'Local time at start %s
        !           531: Localtime at end   %sLocal time at start %s
        !           532: Local time at end   %s
        !           533: Total time used %s
        !           534: Total time was %d Sec.
        !           535: t&<br>Local time at start %s<br>Local time at end   %s<br>"gnuplot Starting graphs with: %s Problem with gnuplot
        !           536:  Wait...
        !           537: Type e to edit output files, g to graph again and q for exiting: Starting browser with: %s
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