Package: Rdta
Version: 1.0.1
Date: 2024-1-26
Title: Data Transforming Augmentation for Linear Mixed Models
Author: Hyungsuk Tak, Kisung You, Sujit K. Ghosh, and Bingyue Su
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>
Depends: R (>= 2.2.0)
Imports: MCMCpack(>= 1.4-4), mvtnorm(>= 1.0-11), Rdpack, stats
Description: 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>.
License: GPL-2
Encoding: UTF-8
RdMacros: Rdpack
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2024-01-26 21:41:54 UTC; hyungsuktak
Repository: CRAN
Date/Publication: 2024-01-27 07:30:10 UTC
Built: R 4.6.0; ; 2026-04-28 09:34:13 UTC; unix
