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gammSlice

2.0-2

Generalized Additive Mixed Model Analysis via Slice Sampling

0packages depend
2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Matt P. WandFirst published 2012-04-045 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
100%
Return-value docs
25%
References docs
100%

Downloads

2.3K
CRAN downloads in the past year
Rank #17,741 · ~6/day · ~192/mo
Daily download trend is not available in this view yet.
15130 days
60890 days
2.3K1 year
Compare downloads with other packages →
Also on432 r2u15 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (3)
KernSmoothlatticemgcv
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer · added in 2.0-1
Authors (2)
Author, Maintainer · added in 2.0-1
Author · added in 2.0-1
Listed in earlier versions (2)
no longer listed · 1.2-5 to 1.3
no longer listed · 1.2-5 to 1.3
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0-2Latest
    2019-01-03 · current release · diff ↗
  • 2.0-1
    2018-05-21 · diff ↗
  • unarchivedReturned to CRAN
    2018-05-21
  • R
    R 3.5.0 released · 2018-04-23
  • archivedRemoved from CRAN
    2018-01-26
    warnings were not corrected despite reminders
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
Show 6 earlier events
  • 1.3
    2015-01-21 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 1.2-6
    2012-05-09 · diff ↗
  • 1.2-5
    2012-04-04
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2012-04-04
Total releases
5 / 14 yrs
License
GPL (>= 2) OSI
Bundled data
14 KB / 2 files
Download size
37 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gammSlice")
Wand, M. P., & Pham, T. H. (2019). gammSlice: Generalized Additive Mixed Model Analysis via Slice Sampling (Version 2.0-2) [Computer software]. https://doi.org/10.32614/CRAN.package.gammSlice

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gammSlice version 2.0-2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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