Package: gammSlice 2.0-2
gammSlice: Generalized Additive Mixed Model Analysis via Slice Sampling
Uses a slice sampling-based Markov chain Monte Carlo to conduct Bayesian fitting and inference for generalized additive mixed models. Generalized linear mixed models and generalized additive models are also handled as special cases of generalized additive mixed models. The methodology and software is described in Pham, T.H. and Wand, M.P. (2018). Australian and New Zealand Journal of Statistics, 60, 279-330 <doi:10.1111/ANZS.12241>.
Authors:
gammSlice_2.0-2.tar.gz
gammSlice_2.0-2.zip(r-4.5)gammSlice_2.0-2.zip(r-4.4)gammSlice_2.0-2.zip(r-4.3)
gammSlice_2.0-2.tgz(r-4.5-x86_64)gammSlice_2.0-2.tgz(r-4.5-arm64)gammSlice_2.0-2.tgz(r-4.4-x86_64)gammSlice_2.0-2.tgz(r-4.4-arm64)gammSlice_2.0-2.tgz(r-4.3-x86_64)gammSlice_2.0-2.tgz(r-4.3-arm64)
gammSlice_2.0-2.tar.gz(r-4.5-noble)gammSlice_2.0-2.tar.gz(r-4.4-noble)
gammSlice_2.0-2.tgz(r-4.4-emscripten)gammSlice_2.0-2.tgz(r-4.3-emscripten)
gammSlice.pdf |gammSlice.html✨
gammSlice/json (API)
| # Install 'gammSlice' in R: |
| install.packages('gammSlice', repos = c('https://mattwand.r-universe.dev', 'https://cloud.r-project.org')) |
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:3e54fa29e3. Checks:11 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 07 2025 |
| R-4.5-win-x86_64 | OK | Feb 07 2025 |
| R-4.5-mac-x86_64 | OK | Feb 07 2025 |
| R-4.5-mac-aarch64 | OK | Feb 07 2025 |
| R-4.5-linux-x86_64 | OK | Feb 07 2025 |
| R-4.4-win-x86_64 | OK | Feb 07 2025 |
| R-4.4-mac-x86_64 | OK | Feb 07 2025 |
| R-4.4-mac-aarch64 | OK | Feb 07 2025 |
| R-4.3-win-x86_64 | OK | Feb 07 2025 |
| R-4.3-mac-x86_64 | OK | Feb 07 2025 |
| R-4.3-mac-aarch64 | OK | Feb 07 2025 |
Exports:gSlcgSlc.controlplot.gSlcsummary.gSlc
Dependencies:KernSmoothlatticeMatrixmgcvnlme
