Rdta | R Documentation |
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: | 1.0.1 |
Date: | 2024-1-26 |
License: | GPL-2 |
Main functions: | lmm |
Hyungsuk Tak (maintainer), Kisung You, Sujit K. Ghosh, and Bingyue Su
Tak, You, Ghosh, Su, Kelly (2019), "Data Transforming Augmentation for Heteroscedastic Models" <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10618600.2019.1704295")}>
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