
    'YHhY-              	       P   d Z ddlZddlZddlmZ  edIi dddddd	d
dddddddddddddddddddddddddddd d!d"d#d$dd%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d2d4d5d6d7d8d9d:d;d<d=d>d?d@dAdBdCdDdEdFdGdHdIdJdKZ ej                  g dLdMdNdOdPdQej                  dRddSdTdUdVdWdXej                  dRddYdZd[d\d]d^ej                  dRdd_d`dadbdcddej                  dRddedfdgdhdidjej                  dRddkdldmdndodpej                  dRddqdrdsdtdudvej                  dRddwdxdydzd{d|ej                  dRdd}d~ddddej                  dRd      j                  dd      Zdj                         Zdj                         Z ej                  g ddddddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRd      j                  dd      Zdj                         Zdj                         Z ej&                  eee      Z ej                  g ddddddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRd      j                  dd      Zdj                         Zdj                         Z ej&                  eee      Z edIeeeeedeZ edIi ddddddd
dddddddddddddddddÓddēddœddǓddddd$dd'dɓd)dʓd+d˓dd͓d3d2d4d5d6d7d8dΓd:d;d<dϓd>d?d@dAdBdCdDdEdFdGdHdIdJdKZ ej                  g dБdёdґdӑdԑdՑej                  dRdd֑dבdؑdّdڑdۑej                  dRddܑdݑdޑdߑddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRdddddddej                  dRdd dddddej                  dRddddd	d
dej                  dRdddddddej                  dRd      j                  dd      Zdj                         Zdj                         Z ej                  g ddddddej                  dRdddddddej                  dRdddd dd!d"ej                  dRdd#d$d%d&d'd(ej                  dRdd)d*d+dd,d-ej                  dRd      j                  dd      Zdj                         Zdj                         Z ej&                  eee      Z ej                  g d.d/d0dd1d2ej                  dRdd3d4d5d6d7d8ej                  dRdd9d:d;dd<d=ej                  dRdd>d?d@dAdBdCej                  dRddDdEdFddGdHej                  dRd      j                  dd      Zdj                         Zdj                         Z ej&                  eee      Z edIeeeeedeZy(J  zThis file has been manually edited based on the generated results

edits
- rearrange Bunch
- use DataFrame

note seond `_cons` in params_table rownames is lnalpha

    N)ParamsTableTestBunchrank	   Ni-  ic   kk_eq   k_dv   	convergedrc	k_autoCnsllgRzR
k_eq_modelll_0gqr9Xrank0df_m   chi2g/мۇ@pgAֿll_cg tchi2_cg1U@r2_pgp?k_auxalphagG2ʻ?cmdlinez=nbreg docvis private medicaid aget aget2 educyr actlim totchrcmdnbregpredictnbreg_pdispersmeandiparm_opt2noprobchi2_ctLRchi2typeopt	moptimizevceoimtitlezNegative binomial regressiondiparm1zlnalpha, exp label(usernbreg_lfcrittypezlog likelihood	ml_methode2singularHmethodzm-marquardt	techniquenrwhichmaxdepvardocvis
propertieszb VgrPSP?gv*a$?gb"@gF2+`>gƿ7?gtQE?gS 1\?gwT?g2w(?g4*˽?g?g
Ęg/B{r?g`ߏ?gxZ?gf~@gԝ|Rt>g";w8?g5fAВ?gf6fgoR?gwްjgE>gڨOgnD-FigWZ?g;+q?ghϱ@g<*EI=g((?gEU]r?ggM?g}l?gԝ͑@gRJBҩ>gv|wV?g`z^y?g'+??g)$?g$]6@gʜU|'(gUz?gPL/y?g${?g^a ?gu>n$@gsok ;gn5O*?gR?gP
wE޿g&O?gYk.ggV14g@6wog ۿz!b se z pvalue ll ul df crit eformz<private medicaid aget aget2 educyr actlim totchr _cons _consg(5D@gpb)M?g("LP@g_@g%kZ@gp?gn>l?g-^6@g+-' 2(g֒d?g Oڵ?gnԹ?g3ja?gVGG@gE#?gN?g2e)?g_IRv?gV&4@@gAV AgdTh?gR]?g&ˌuA?gŷJRv?gb@g'Y?gne?   z81bn._predict 2._predict 3._predict 4._predict 5._predict)indexcolumnsg*c:@gMU?gE@bfO@gSBa@gK@g@Ix?gql?ghh+9@g		=r#g- <-ִ?g^V[?goXqq?gd`?g V\	$J@gaj?gz5O(x?gж	?gYkcUv?gb7A@gfugߦ?g6ȑ3c?gK?ga9dUv?g?qb@g 3g?gs	H?)params_tableparams_table_colnamesparams_table_rownamesresults_margins_atmeansresults_margins_mean         g`yRggQK(@g]_ N_zeroi  df_czKzinb docvis private medicaid aget aget2 educyr actlim totchr, inflate(aget)zinbzip_pinflatelogitz*Zero-inflated negative binomial regressionzinb_llfgwֳ?g9'(?gaݱ@ga>gָbq?g?g?g>x'?g_?gn?gR۬gZ?gE]c?gk4?gC@gultZ>gz0?gHP&	?gVߙg4	b?gAg*t>g}&FZgGqg0?gp\*q?g3i@gHӪp1=g(6)(?gz?g,?gi=?g2ad@gEp
>gWR?g3sgw?gH-?gEN)J?g2N2k6@gX,(gF?g5|#?gx[y?g9<Ʊ?g#@gb;gUÂf?g2o?geJgD@g	c>ֿgfM?gՠV
!gh4)Bb@g	0<g#M*@gjk߿gY?g}Q@gv/_3@gI߿g,׷?gQ_q+g$n<07g[g[oHڿzGprivate medicaid aget aget2 educyr actlim totchr _cons aget _cons _consgp@g+>~Oŷ?g@$V.˖P@gɳY4@g_@gqB?gl?gMk_6@gg?r)g0sZ?g!?gP ι?gz!Hɒe?gb_#C@gH*{?gC7D ?g!H?g猷x?g[r>@gbfg֣M}?g4$`n?g-B?g0ȷx?g?a@g
vg?gd?gp*9@g5ڻ?g%GO@gJI$^_@g@gg5.?gewp?gR35@g+P>*g:a1?g:?g}3Kh?gI#.jf?gT>ӴC@g[	?g٬Eȼ?g
]i?gJձ|Zv?g?A@g3g$P|?g׃d?gh%?gZ0|Zv?gimb@g_f?gU ? )__doc__numpynppandaspdstatsmodels.tools.testingr   dictestarraynanreshaper@   splitrA   rB   tabletable_colnamestable_rownames	DataFramedframe_atmeansdframe_meanresults_nb_docvisresults_zinb_docvisrO       k/var/www/html/planif/env/lib/python3.12/site-packages/statsmodels/discrete/tests/results/results_predict.py<module>rf      s     :
 ))) ) 	)
 ) ) ) ) ) #) ) %) ) ) #)  !!)" %#)$ &%)& $')( ))* %+), U-). /)0 1)2 3)4 "5)6 7)8 9): ;)< =)> 2?)@ +A)B C)D 'E)F G)H +I)J K)L M)N O)P Q)V rxx &)8;J&(*1@  ' *9 <K 	 '	 *9	 ;=&&	
 
 &'
 *9
 <K  ' *9 <K FF  ./ 1A  ' *9 ;K  ff  / @A  ' *9 <K  ' )+ 2A  ' *9 <K  ' *9 ;=&&  &' *9 <K  ' *9 <K  FF!  !  ./!  2A!" #" '#" *9#" <K#$ %$ ff%$  /%$ @A%& '& ''& )9'& <K'( )( ')( )+)( 2A)* + * wq|+ . <AAC V\\^  	 &)8IJ&(*1@  ' *9 <K 	 '	 *9	 ;=&&	
 
 &'
 *9
 <K  &' *9 <K FF  ./ 2A  ' *9 <K  ff  / @A  ' *9 JK  ' )+ 2A  	 wq|  5::<KQQSe>>R 	 &)8IJ&(*1@  ' *9 <K 	 '	 *9	 ;=&&	
 
 &'
 *9
 <K  &' *9 =K FF  ./ 2A  ' *9 <K  ff  / @A  ' *9 JK  ' )+ 2A  	 wq|  5::<KQQSbll5O( //*$ 
   $$$ $ 	$
 $ $ $ $ $ #$ $ %$ $$ !$ $  !$" #$$ %$& c'$( )$* +$, -$. /$0 1$2 3$4 @5$6 +7$8 9$: ';$< =$> +?$@ A$B C$D E$F G$L rxx 00&0)80;J00&0(*01@0 0 '0 *90 <K0 	0 '	0 *9	0 ;=&&	0
 0
 &'0
 *90
 <K0 0 '0 *90 <K0 FF0 0 ./0 1A0 0 '0 *90 ;K0 0 ff0  /0 @A0 0 '0 *90 <K0 0 '0 )+0 2A0 0 '0 *90 <K0 0 '0 *90 ;=&&0 0 &'0 *90 <K0 0 '0 *90 <K0  FF!0  !0  ./!0  2A!0" #0" '#0" *9#0" <K#0$ %0$ ff%0$  /%0$ @A%0& '0& ''0& )9'0& <K'0( )0( ')0( )+)0( 2A)0* +0* '+0* *9+0* ;K+0, -0, '-0, *9-0, ;=&&-0. /0. &'/0. *9/0. <K/00 100 '100 )9100 ;K102 FF302 302 ./30 12 29A3 6 <AAC aggi  	 &)8IJ&(*1@  ' *9 <K 	 '	 *9	 ;=&&	
 
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 *9
 <K  &' *9 <K FF  ./ 2A  ' *9 <K  ff  / @A  ' *9 JK  ' )+ 2A  	 wq|  5::<KQQSe>>R 	 &)8IJ&(*1@  ' *9 >K 	 '	 +9	 ;=&&	
 
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 *9
 <K  &' *9 <K FF  ./ 2A  ' *9 <K  ff  / @A  ' *9 JK  ' )+ 2A  	 wq|  5::<KQQSbll5O* //*$ 
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