Other packages > Find by keyword >

MLModelSelection  

Model Selection in Multivariate Longitudinal Data Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MLModelSelection", "1.0")



Attach the package and use:
library("MLModelSelection")
Maintained by
Kuo-Jung Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2020-03-20
Description:
An efficient Gibbs sampling algorithm is developed for Bayesian multivariate longitudinal data analysis with the focus on selection of important elements in the generalized autoregressive matrix. It provides posterior samples and estimates of parameters. In addition, estimates of several information criteria such as Akaike information criterion (AIC), Bayesian information criterion (BIC), deviance information criterion (DIC) and prediction accuracy such as the marginal predictive likelihood (MPL) and the mean squared prediction error (MSPE) are provided for model selection.
How to cite:
Kuo-Jung Lee (2020). MLModelSelection: Model Selection in Multivariate Longitudinal Data Analysis. R package version 1.0, https://cran.r-project.org/web/packages/MLModelSelection. Accessed 03 Sep. 2026.
Previous versions and publish date:
1.0 (2020-03-20 16:10), (2026-07-09 08:09)
Other packages that cited MLModelSelection R package
View MLModelSelection citation profile
Other R packages that MLModelSelection depends, imports, suggests or enhances
Complete documentation for MLModelSelection
Functions, R codes and Examples using the MLModelSelection R package
Some associated functions: MLModelSelectionMCMC . SimulatedData . 
Some associated R codes: RcppExports.R .  Full MLModelSelection package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

RSelenium  
R Bindings for 'Selenium WebDriver'
Provides a set of R bindings for the 'Selenium 2.0 WebDriver' (see ...
Download / Learn more Package Citations See dependency  
SIPDIBGE  
Collection of Household Survey Packages Conducted by IBGE
Provides access to packages developed for downloading, reading and analyzing microdata from househol ...
Download / Learn more Package Citations See dependency  
cito  
Building and Training Neural Networks
The 'cito' package provides a user-friendly interface for training and interpreting deep neural netw ...
Download / Learn more Package Citations See dependency  
metapack  
Bayesian Meta-Analysis and Network Meta-Analysis
Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models ...
Download / Learn more Package Citations See dependency  
filehashSQLite  
Simple Key-Value Database using SQLite
Simple key-value database using SQLite as the back end. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

28,437

R Packages

239,283

Dependencies

75,283

Author Associations

28,438

Publication Badges

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