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: 2026-06-19 06:52:15 UTC; root
Repository: https://hyungsuktak.r-universe.dev
Date/Publication: 2024-01-28 02:30:54 UTC
RemoteUrl: https://github.com/cran/Rdta
RemoteRef: HEAD
RemoteSha: af4a9547418e258428f9ca97e1daac4f8413e0ad