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: 2026-06-17 10:03:28 UTC; root
Author: Pei Wang [aut, cre], Richard Kryscio [aut]
Maintainer: Pei Wang <wangp33@miamioh.edu>
Repository: https://wangp33.r-universe.dev
Date/Publication: 2021-06-07 06:20:07 UTC
RemoteUrl: https://github.com/cran/RRMLRfMC
RemoteRef: HEAD
RemoteSha: 15a189ab18cbe4f1094b5fdddd8717b6c19719d6