RRMLRfMC
Reduced-Rank Multinomial Logistic Regression for Markov Chains
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.0 |
rolling linux/jammy R-4.5 | RRMLRfMC_0.4.0.tar.gz |
68.3 KiB |
0.4.0 |
rolling linux/noble R-4.5 | RRMLRfMC_0.4.0.tar.gz |
68.1 KiB |
0.4.0 |
rolling source/ R- | RRMLRfMC_0.4.0.tar.gz |
24.7 KiB |
0.4.0 |
latest linux/jammy R-4.5 | RRMLRfMC_0.4.0.tar.gz |
68.3 KiB |
0.4.0 |
latest linux/noble R-4.5 | RRMLRfMC_0.4.0.tar.gz |
68.1 KiB |
0.4.0 |
latest source/ R- | RRMLRfMC_0.4.0.tar.gz |
24.7 KiB |
0.4.0 |
2026-04-26 source/ R- | RRMLRfMC_0.4.0.tar.gz |
24.7 KiB |
0.4.0 |
2026-04-23 source/ R- | RRMLRfMC_0.4.0.tar.gz |
24.7 KiB |
0.4.0 |
2026-04-09 windows/windows R-4.5 | RRMLRfMC_0.4.0.zip |
71.5 KiB |
0.4.0 |
2025-04-20 source/ R- | RRMLRfMC_0.4.0.tar.gz |
24.7 KiB |