inarmix: Mixture models for longitudinal count data.
Version 0.4

Fits mixtures models for longitudinal data. Appropriate when the data are counts and when the correlation structure is assumed to be AR(1).

AuthorNicholas Henderson and Paul Rathouz
Date of publication2014-03-05 18:21:57
MaintainerNicholas Henderson <nhenders@stat.wisc.edu>
LicenseGPL-2
Version0.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("inarmix")

Popular man pages

diagnose: Diagnostics for the model fit.
GenerateMixData: Generates simulated data according to a specified INAR...
inarmix: Finite mixture model for longitudinal count data.
See all...

All man pages Function index File listing

Man pages

diagnose: Diagnostics for the model fit.
GenerateMixData: Generates simulated data according to a specified INAR...
inarmix: Finite mixture model for longitudinal count data.

Functions

BuildBasis Source code
BuildBasis_oneclass Source code
ComputeHess Source code
ConstructIndSet Source code
EnforceConstraints Source code
GEEests Source code
GenerateMixData Man page Source code
InitializePars Source code
MultiStart Source code
MyPoisson_Reg Source code
OneclassEsts Source code
OuterProd Source code
PostProbs Source code
PsiFn Source code
R.compute Source code
UpdateAlpha Source code
UpdateAlpha_oneclass Source code
UpdateBeta Source code
UpdateBeta_oneclass Source code
UpdateGamma Source code
UpdateGamma_oneclass Source code
diagnose Man page Source code
inarmix Man page Source code
predict.class Source code
print.diagnose.inarmix Source code
print.inarmix Source code
print.summary.inarmix Source code
summary.inarmix Source code

Files

src
src/Makevars
src/Miscell.h
src/Matops.h
src/likcopy.cpp
src/Matops.cpp
src/Miscell.cpp
src/Makevars.win
NAMESPACE
R
R/oneclassder.R
R/oneclass.R
R/otherfns.R
R/simulations.R
R/GEEest.R
R/printfns.R
R/main.R
MD5
DESCRIPTION
man
man/inarmix.Rd
man/diagnose.Rd
man/GenerateMixData.Rd
inarmix documentation built on May 19, 2017, 3:59 p.m.

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