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-4.7)gammSlice_2.0-2.zip(r-4.6)gammSlice_2.0-2.zip(r-4.5)
gammSlice_2.0-2.tgz(r-4.6-x86_64)gammSlice_2.0-2.tgz(r-4.6-arm64)gammSlice_2.0-2.tgz(r-4.5-x86_64)gammSlice_2.0-2.tgz(r-4.5-arm64)
gammSlice_2.0-2.tar.gz(r-4.7-arm64)gammSlice_2.0-2.tar.gz(r-4.7-x86_64)gammSlice_2.0-2.tar.gz(r-4.6-arm64)gammSlice_2.0-2.tar.gz(r-4.6-x86_64)
gammSlice_2.0-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gammSlice/json (API)

# Install 'gammSlice' in R:
install.packages('gammSlice', repos = c('https://mattwand.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • indonRespir - Eespiratory infection in Indonesian children
  • toenail - Toenail infection clinical trial

On CRAN:

Conda:

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

1.08 score 1 stars 12 scripts 298 downloads 1 mentions 4 exports 5 dependencies

Last updated from:3e54fa29e3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK137
linux-devel-x86_64OK142
source / vignettesOK146
linux-release-arm64OK161
linux-release-x86_64OK177
macos-release-arm64OK158
macos-release-x86_64OK205
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK193
windows-develOK106
windows-releaseOK102
windows-oldrelOK113
wasm-releaseOK97

Exports:gSlcgSlc.controlplot.gSlcsummary.gSlc

Dependencies:KernSmoothlatticeMatrixmgcvnlme