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Rdta  

Data Transforming Augmentation for Linear Mixed Models
View on CRAN: Click here


Download and install Rdta package within the R console
Install from CRAN:
install.packages("Rdta")

Install from Github:
library("remotes")
install_github("cran/Rdta")

Install by package version:
library("remotes")
install_version("Rdta", "1.0.1")



Attach the package and use:
library("Rdta")
Maintained by
Hyungsuk Tak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-24
Latest Update: 2024-01-27
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) .
How to cite:
Hyungsuk Tak (2020). Rdta: Data Transforming Augmentation for Linear Mixed Models. R package version 1.0.1, https://cran.r-project.org/web/packages/Rdta. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-01-24 17:50)
Other packages that cited Rdta R package
View Rdta citation profile
Other R packages that Rdta depends, imports, suggests or enhances
Complete documentation for Rdta
Functions, R codes and Examples using the Rdta R package
Some associated functions: Rdta . lmm . 
Some associated R codes: lmm.R . package-Rdta.R .  Full Rdta package functions and examples
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