Subject index - Stata
Subject index - Stata
Subject index - Stata
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38 <strong>Subject</strong> <strong>index</strong><br />
fvwrapon, set subcommand, [R] set, [R] set<br />
showbaselevels<br />
[fweight=exp] modifier, [U] 11.1.6 weight,<br />
[U] 20.23.1 Frequency weights<br />
fwrite() function, [M-5] fopen( )<br />
fwrite() function, [M-5] fopen( )<br />
fxsize() option, [G-2] graph combine<br />
fysize() option, [G-2] graph combine<br />
G<br />
g2 inverse of matrix, [P] matrix define, [P] matrix svd<br />
gain, [TS] tsfilter, [TS] tsfilter bk, [TS] tsfilter bw,<br />
[TS] tsfilter cf, [TS] tsfilter hp, [TS] Glossary<br />
gamma<br />
density function, [D] functions<br />
incomplete, [D] functions<br />
distribution<br />
cumulative, [D] functions<br />
inverse cumulative, [D] functions<br />
inverse reverse cumulative, [D] functions<br />
reverse cumulative, [D] functions<br />
regression, [SEM] intro 5, [SEM] Glossary<br />
gamma option, see gsem option gamma<br />
gamma() function, [M-5] factorial( )<br />
gammaden() function, [D] functions, [M-5] normal( )<br />
gammap() function, [D] functions, [M-5] normal( )<br />
gammaptail() function, [D] functions,<br />
[M-5] normal( )<br />
gap() option, [G-2] graph twoway histogram<br />
gaps, [ST] stbase, [ST] stdescribe, [ST] stgen,<br />
[ST] stset, [ST] Glossary<br />
GARCH, see generalized autoregressive conditional<br />
heteroskedasticity<br />
Gauss–Hermite quadrature, see quadrature, Gauss–<br />
Hermite<br />
Gauss–Seidel method, [M-5] solvenl( )<br />
Gauss, reading data from, [U] 21.4 Transfer programs<br />
Gaussian kernel function, [G-2] graph twoway<br />
kdensity, [G-2] graph twoway lpoly,<br />
[R] kdensity, [R] lpoly, [R] qreg, [TE] teffects<br />
overlap<br />
Gaussian regression, [SEM] Glossary<br />
GEE, see generalized estimating equations<br />
geigen la() function, [M-5] geigensystem( )<br />
geigenselect* la() functions,<br />
[M-5] geigensystem( )<br />
geigensystem() function, [M-5] geigensystem( )<br />
geigensystem la() function, [M-5] geigensystem( )<br />
geigensystemselect*() functions,<br />
[M-5] geigensystem( )<br />
generalized<br />
autoregressive conditional heteroskedasticity,<br />
[TS] arch, [TS] Glossary<br />
eigensystem, [M-5] geigensystem( )<br />
eigenvalues, [M-6] Glossary<br />
estimating equations, [XT] xtgee, [XT] Glossary<br />
gamma survival regression, [ST] streg<br />
generalized, continued<br />
Hessenberg decomposition, [M-5] ghessenbergd( )<br />
inverse, [M-5] invsym( ), [M-5] pinv( ),<br />
[M-5] qrinv( )<br />
inverse of matrix, [P] matrix define, [P] matrix svd<br />
least squares,<br />
estimated, see estimated generalized least squares<br />
feasible, see feasible generalized least squares<br />
least-squares estimator, [TS] prais, [TS] Glossary<br />
linear latent and mixed models, [R] gllamm<br />
linear mixed model, [ME] me, [ME] Glossary<br />
linear mixed-effects model, [ME] me, [ME] meglm,<br />
[ME] Glossary<br />
linear models, [R] binreg, [R] glm, [SVY] svy<br />
estimation, [U] 26.6 Generalized linear models,<br />
[U] 26.18.3 Generalized linear models with<br />
panel data, [XT] xtgee, [XT] Glossary<br />
linear response functions, [SEM] Glossary<br />
method of moments, [P] matrix accum,<br />
[SEM] Glossary, [U] 26.22 Generalized<br />
method of moments (GMM), [XT] xtabond,<br />
[XT] xtdpd, [XT] xtdpdsys, see gmm command<br />
negative binomial regression, [R] nbreg, [SVY] svy<br />
estimation<br />
response variables, [SEM] intro 2, [SEM] intro 5,<br />
[SEM] gsem family-and-link options<br />
responses, combined, [SEM] example 34g<br />
Schur decomposition, [M-5] gschurd( )<br />
SEM, [SEM] Glossary<br />
generate,<br />
cluster subcommand, [MV] cluster generate<br />
icd9 subcommand, [D] icd9<br />
icd9p subcommand, [D] icd9<br />
sts subcommand, [ST] sts generate<br />
generate command, [D] generate, [MI] mi passive,<br />
[MI] mi xeq<br />
generate functions, adding, [MV] cluster<br />
programming subroutines<br />
generating data, [D] egen, [D] generate<br />
generating variables, [ST] stgen, [ST] sts generate<br />
get,<br />
constraint subcommand, [R] constraint<br />
net subcommand, [R] net<br />
get() function, [D] functions, [P] matrix define,<br />
[P] matrix get<br />
getmata command, [D] putmata<br />
getting started, [U] 1 Read this — it will help<br />
Getting Started with <strong>Stata</strong> manuals, [U] 1.1 Getting<br />
Started with <strong>Stata</strong><br />
keyword search of, [U] 4 <strong>Stata</strong>’s help and search<br />
facilities<br />
gettoken command, [P] gettoken<br />
Geweke–Hajivassiliou–Keane multivariate normal<br />
simulator, [M-5] ghk( ), [M-5] ghkfast( )<br />
ggof, estat subcommand, [SEM] estat ggof<br />
ghalton() function, [M-5] halton( )<br />
ghessenbergd() function, [M-5] ghessenbergd( )<br />
ghessenbergd() function, [M-5] ghessenbergd( )