We provide 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 MCMC. Also see Tak et al. (2019) <doi:10.1080/10618600.2019.1704295>.
Version: 1.0.1 Depends: R (≥ 2.2.0) Imports: MCMCpack (≥ 1.4-4), mvtnorm (≥ 1.0-11), Rdpack, stats Published: 2024-01-27 DOI: 10.32614/CRAN.package.Rdta Author: Hyungsuk Tak, Kisung You, Sujit K. Ghosh, and Bingyue Su Maintainer: Hyungsuk Tak <hyungsuk.tak at gmail.com> License: GPL-2 NeedsCompilation: no CRAN checks: Rdta results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Rdta to link to this page.
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