Aupdate

the coefficient matrix for study covariates

Dfix

Gamma

Adata

the number of covariates in the dimension reduction

a U by U incidence matrix with elements; I(i,j)=1 if state j can be
accessed from state i in one step and 0 otherwise

iniA

the tolerance for convergence, default is 10^-5

refA

This function is used to update A matrix

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.

Aupdate: Aupdate

Description

Usage

Arguments

Value