Package: Rdta
Version: 1.0.0
Date: 2020-1-7
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 a Markov chain Monte Carlo method. Also see Tak, You, Ghosh, Su, and Kelly (2019+) <doi:10.1080/10618600.2019.1704295> <arXiv:1911.02748>.
License: GPL-2
Encoding: UTF-8
RdMacros: Rdpack
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-15 20:48:04 UTC; hyungsuktak
Repository: CRAN
Date/Publication: 2020-01-24 16:50:03 UTC
Built: R 4.2.0; ; 2022-04-27 10:57:14 UTC; unix
