| Name : R-RRMLRfMC
| |
| Version : 0.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.12
| Date : 2024-06-14 11:03:20
|
| Group : Development/Libraries/Other
| Source RPM : R-RRMLRfMC-0.4.0-lp153.1.12.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Reduced-Rank Multinomial Logistic Regression for Markov Chains
|
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
