Rdta: Data Transforming Augmentation for Linear Mixed Models

In 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:	1.0.0
Date:	2020-1-7
License:	GPL-2
Main functions:	lmm

Author(s)

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

References

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tak_data_2019Rdta

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