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:Tung H. Pham [aut], Matt P. Wand [aut, cre]

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-4.4-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'))

Peer review:

Datasets:
  • indonRespir - Eespiratory infection in Indonesian children
  • toenail - Toenail infection clinical trial

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 1 stars 0.49 score 5 dependencies 1 mentions 12 scripts 159 downloads

Last updated 6 years agofrom:3e54fa29e3. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-win-x86_64OKSep 10 2024
R-4.5-linux-x86_64OKSep 10 2024
R-4.4-win-x86_64OKSep 10 2024
R-4.4-mac-x86_64OKSep 10 2024
R-4.4-mac-aarch64OKSep 10 2024
R-4.3-win-x86_64OKSep 10 2024
R-4.3-mac-x86_64OKSep 10 2024
R-4.3-mac-aarch64OKSep 10 2024

Exports:gSlcgSlc.controlplot.gSlcsummary.gSlc

Dependencies:KernSmoothlatticeMatrixmgcvnlme