Rdta: Data Transforming Augmentation for Linear Mixed Models

Description Details Author(s) References


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.


Package: Rdta
Type: Package
Version: 1.0.0
Date: 2020-1-7
License: GPL-2
Main functions: lmm


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




Rdta documentation built on Jan. 24, 2020, 5:10 p.m.

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