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fmrs (version 1.0-9)

Variable Selection in Finite Mixture of AFT Regression and FMR

Description

Provides parameter estimation as well as variable selection in Finite Mixture of Accelerated Failure Time Regression and Finite Mixture of Regression Models. Furthermore, this package provides Ridge Regression and Elastic Net.

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Version

Install

install.packages('fmrs')

Monthly Downloads

36

Version

1.0-9

License

GPL (>= 3)

Maintainer

Last Published

July 2nd, 2016

Functions in fmrs (1.0-9)

fitted

fitted method
fmrs-package

Variable Selection in Finite Mixture of AFT Regression and FMR
dispersion

dispersion method
mixProp

mixProp method
fmrs.gendata

fmrs.gendata method
logLik

logLik method
coefficients

coefficients method
fmrsfit-class

An S4 class to represent a fitted FMRs model
fmrstunpar-class

An S4 class to represent estimated optimal lambdas
BIC

BIC method
show

show method
weights

weights method
residuals

residuals method
ncov

ncov method
summary

summary method
nobs

nobs method
ncomp

ncomp method