Rdta {Rdta}

Data Transforming Augmentation for Linear Mixed Models

Description

The R package Rdta provides a toolbox to fit univariate and multivariate linear mixed models via data transforming augmentation. Users can also fit these models via typical data augmentation for a comparison. It returns either maximum likelihood estimates of unknown model parameters (hyper-parameters) via an EM algorithm or posterior samples of those parameters via a Markov chain Monte Carlo method.

Details

Package:	Rdta
Type:	Package
Version:	1.0.1
Date:	2024-1-26
License:	GPL-2
Main functions:	lmm

Author(s)

Hyungsuk Tak (maintainer), Kisung You, Sujit K. Ghosh, and Bingyue Su

References

Tak, You, Ghosh, Su, Kelly (2019), "Data Transforming Augmentation for Heteroscedastic Models" <doi:10.1080/10618600.2019.1704295>