Other packages > Find by keyword >

RRMLRfMC  

Reduced-Rank Multinomial Logistic Regression for Markov Chains
View on CRAN: Click here


Download and install RRMLRfMC package within the R console
Install from CRAN:
install.packages("RRMLRfMC")

Install from Github:
library("remotes")
install_github("cran/RRMLRfMC")

Install by package version:
library("remotes")
install_version("RRMLRfMC", "0.4.0")



Attach the package and use:
library("RRMLRfMC")
Maintained by
Pei Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-07
Latest Update: 2021-06-07
Description:
Fit the reduced-rank multinomial logistic regression model for Markov chains developed by Wang, Abner, Fardo, Schmitt, Jicha, Eldik and Kryscio (2021) 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.
How to cite:
Pei Wang (2021). RRMLRfMC: Reduced-Rank Multinomial Logistic Regression for Markov Chains. R package version 0.4.0, https://cran.r-project.org/web/packages/RRMLRfMC. Accessed 03 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited RRMLRfMC R package
View RRMLRfMC citation profile
Other R packages that RRMLRfMC depends, imports, suggests or enhances
Complete documentation for RRMLRfMC
Functions, R codes and Examples using the RRMLRfMC R package
Some associated functions: Aupdate . Gupdate . cogdat . derivativeB . derivatives . expand . norm . rrmultinom . sdfun . 
Some associated R codes: Aupdate.R . Gupdate.R . cogdat.R . derivativeB.R . derivatives.R . expand.R . norm.R . rrmultinom.R . sdfun.R .  Full RRMLRfMC package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

predictoR  
Predictive Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency  
HGMND  
Heterogeneous Graphical Model for Non-Negative Data
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency  
metaboData  
Example Metabolomics Data Sets
Data sets from a variety of biological sample matrices, analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency  
Bolstad2  
Bolstad Functions
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency  
cmce  
Computer Model Calibration for Deterministic and Stochastic Simulators
Implements the Bayesian calibration model described in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency  
sgof  
Multiple Hypothesis Testing
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency  

23,630

R Packages

204,057

Dependencies

64,101

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA