Package: Rdta 1.0.1

Rdta: Data Transforming Augmentation for Linear Mixed Models

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>.

Authors:Hyungsuk Tak, Kisung You, Sujit K. Ghosh, and Bingyue Su

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1 exports 0.09 score 13 dependencies 174 downloads

Last updated 8 months agofrom:af4a954741. Checks:OK: 7. Indexed: yes.

Exports:lmm

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregrbibutilsRdpackSparseMsurvival