Rdta (Q141062)
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Data Transforming Augmentation for Linear Mixed Models
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Rdta |
Data Transforming Augmentation for Linear Mixed Models |
Statements
27 January 2024
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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>.
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