inarmix: Mixture models for longitudinal count data.

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

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Files

inarmix
inarmix/src
inarmix/src/Makevars
inarmix/src/Miscell.h
inarmix/src/Matops.h
inarmix/src/likcopy.cpp
inarmix/src/Matops.cpp
inarmix/src/Miscell.cpp
inarmix/src/Makevars.win
inarmix/NAMESPACE
inarmix/R
inarmix/R/oneclassder.R inarmix/R/oneclass.R inarmix/R/otherfns.R inarmix/R/simulations.R inarmix/R/GEEest.R inarmix/R/printfns.R inarmix/R/main.R
inarmix/MD5
inarmix/DESCRIPTION
inarmix/man
inarmix/man/inarmix.Rd inarmix/man/diagnose.Rd inarmix/man/GenerateMixData.Rd

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