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:
Rdta_1.0.1.tar.gz
Rdta_1.0.1.zip(r-4.5)Rdta_1.0.1.zip(r-4.4)Rdta_1.0.1.zip(r-4.3)
Rdta_1.0.1.tgz(r-4.4-any)Rdta_1.0.1.tgz(r-4.3-any)
Rdta_1.0.1.tar.gz(r-4.5-noble)Rdta_1.0.1.tar.gz(r-4.4-noble)
Rdta_1.0.1.tgz(r-4.4-emscripten)Rdta_1.0.1.tgz(r-4.3-emscripten)
Rdta.pdf |Rdta.html✨
Rdta/json (API)
| # Install 'Rdta' in R: |
| install.packages('Rdta', repos = c('https://hyungsuktak.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:af4a954741. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:lmm
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregrbibutilsRdpackSparseMsurvival
