Learn R Programming

lmm (version 1.4)

Linear Mixed Models

Description

It implements Expectation/Conditional Maximization Either (ECME) and rapidly converging algorithms as well as Bayesian inference for linear mixed models, which is described in Schafer, J.L. (1998) "Some improved procedures for linear mixed models". Dept. of Statistics, The Pennsylvania State University.

Copy Link

Version

Install

install.packages('lmm')

Monthly Downloads

401

Version

1.4

License

Unlimited

Issues

4

Pull Requests

0

Stars

12

Forks

4

Maintainer

Jing Zhao

Last Published

August 19th, 2023

Functions in lmm (1.4)

mgibbs

Modified Gibbs sampler for Bayesian inference in linear mixed models
fastml

Rapidly converging algorithm for maximum-likelihood (ML) estimation in linear mixed models
fastrml

Rapidly converging algorithm for restricted maximum-likelihood (RML) estimation in linear mixed models
marijuana

A pilot study of the clinical and psychological effects of maarijuana
fastmode

Rapidly converging algorithm for calculating posterior modes in linear mixed models
ecmeml

ECME algorithm for maximum-likelihood (ML) estimation in linear mixed models
example

lmm package example command file
fastmcmc

Rapidly converging Markov chain Monte Carlo algorithm for Bayesian inference in linear mixed models
ecmerml

ECME algorithm for restricted maximum-likelihood (RML) estimation in linear mixed models