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-4.7)Rdta_1.0.1.zip(r-4.6)Rdta_1.0.1.zip(r-4.5)
Rdta_1.0.1.tgz(r-4.6-any)Rdta_1.0.1.tgz(r-4.5-any)
Rdta_1.0.1.tar.gz(r-4.7-any)Rdta_1.0.1.tar.gz(r-4.6-any)
Rdta_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:af4a954741. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 176 | ||
| linux-release-x86_64 | OK | 116 | ||
| macos-release-arm64 | OK | 113 | ||
| macos-oldrel-arm64 | OK | 98 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 99 |
Exports:lmm
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregrbibutilsRdpackSparseMsurvival
