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✨
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 148 downloads 1 mentions 4 exports 5 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK112
linux-devel-x86_64OK126
source / vignettesOK151
linux-release-arm64OK113
linux-release-x86_64OK141
macos-release-arm64OK96
macos-release-x86_64OK172
macos-oldrel-arm64OK105
macos-oldrel-x86_64OK285
windows-develOK114
windows-releaseOK85
windows-oldrelOK110
wasm-releaseOK99

Exports:gSlcgSlc.controlplot.gSlcsummary.gSlc

Dependencies:KernSmoothlatticeMatrixmgcvnlme