Rdta

Data Transforming Augmentation for Linear Mixed Models

CRAN Package

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.

  • Version1.0.1
  • R version≥ 2.2.0
  • LicenseGPL-2
  • Needs compilation?No
  • Last release01/27/2024

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  • Imports3 packages