R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
RRMLRfMC
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]
[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
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Oldemar Rodriguez (view profile)
HGMND
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jiaqi Zhang (view profile)
metaboData
Data sets from a variety of biological sample matrices,
analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jasen Finch (view profile)
Bolstad2
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: James Curran (view profile)
cmce
Implements the Bayesian calibration model described
in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Matthew T. Pratola (view profile)
sgof
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Irene Castro Conde (view profile)