Package: RRMLRfMC
Type: Package
Title: Reduced-Rank Multinomial Logistic Regression for Markov Chains
Version: 0.4.0
Authors@R: c(person("Pei", "Wang", role = c("aut", "cre"),
                      email = "wangp33@miamioh.edu"),
               person("Richard", "Kryscio", role = "aut") )
Description: Fit the reduced-rank multinomial logistic regression model for Markov
    chains developed by Wang, Abner, Fardo, Schmitt, Jicha, Eldik and Kryscio
    (2021)<doi:10.1002/sim.8923> in R. It combines the ideas of multinomial
    logistic regression in Markov chains and reduced-rank. It is very useful in 
    a study where multi-states model is assumed and each transition among the 
    states is controlled by a series of covariates. The key advantage is to 
    reduce the number of parameters to be estimated. The final coefficients for 
    all the covariates and the p-values for the interested covariates will be 
    reported. The p-values for the whole coefficient matrix can be calculated by 
    two bootstrap methods.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: nnet
Depends: R (>= 3.5.0)
RoxygenNote: 7.1.1
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2021-06-04 19:05:32 UTC; pwa24
Author: Pei Wang [aut, cre],
  Richard Kryscio [aut]
Maintainer: Pei Wang <wangp33@miamioh.edu>
Repository: CRAN
Date/Publication: 2021-06-07 07:20:07 UTC
Built: R 4.6.0; ; 2026-04-25 22:02:06 UTC; unix
