glmx: Generalized Linear Models Extended

Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroskedastic latent variables.

AuthorAchim Zeileis [aut, cre], Roger Koenker [aut], Philipp Doebler [aut]
Date of publication2014-08-23 21:25:53
MaintainerAchim Zeileis <Achim.Zeileis@R-project.org>
LicenseGPL-2 | GPL-3
Version0.1-0

View on R-Forge

Functions

AbortionAmbivalence Man page
angular Man page
ao1 Man page
ao2 Man page
BeetleMortality Man page
bread.hetglm Man page
coef.glmx Man page
coef.hetglm Man page
coeftest.hetglm Man page
dpregibon Man page
estfun.hetglm Man page
foldexp Man page
formula.glmx Man page
gj Man page
glmx Man page
glmx.control Man page
glmx.fit Man page
gosset Man page
hetglm Man page
hetglm.control Man page
hetglm.fit Man page
logLik.glmx Man page
logLik.hetglm Man page
loglog Man page
MexicanLabor Man page
model.frame.hetglm Man page
model.matrix.hetglm Man page
nblogit Man page
nobs.glmx Man page
plinks Man page
ppregibon Man page
predict.hetglm Man page
pregibon Man page
print.glmx Man page
print.hetglm Man page
print.summary.hetglm Man page
qpregibon Man page
residuals.hetglm Man page
rocke Man page
rpregibon Man page
summary.glmx Man page
summary.hetglm Man page
talpha Man page
terms.hetglm Man page
update.hetglm Man page
vcov.glmx Man page
vcov.hetglm Man page
WECO Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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