Skip to content

gamselBayes

Bayesian Generalized Additive Model Selection

v2.0-3 · May 1, 2025 · GPL (>= 2)

Description

Generalized additive model selection via approximate Bayesian inference is provided. Bayesian mixed model-based penalized splines with spike-and-slab-type coefficient prior distributions are used to facilitate fitting and selection. The approximate Bayesian inference engine options are: (1) Markov chain Monte Carlo and (2) mean field variational Bayes. Markov chain Monte Carlo has better Bayesian inferential accuracy, but requires a longer run-time. Mean field variational Bayes is faster, but less accurate. The methodology is described in He and Wand (2024) <doi:10.1007/s10182-023-00490-y>.

Downloads

271

Last 30 days

15686th

728

Last 90 days

3K

Last year

Trend: +7.1% (30d vs prior 30d)

CRAN Check Status

4 WARNING
2 NOTE
8 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang WARNING
r-devel-linux-x86_64-debian-gcc WARNING
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 WARNING
r-release-linux-x86_64 WARNING
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (6 non-OK)
WARNING r-devel-linux-x86_64-debian-clang

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘manual.pdf’ from 739Kb to 369Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
WARNING r-devel-linux-x86_64-debian-gcc

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘manual.pdf’ from 739Kb to 369Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
NOTE r-oldrel-macos-arm64

installed package size

installed size is  6.0Mb
  sub-directories of 1Mb or more:
    libs   5.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.1Mb
WARNING r-patched-linux-x86_64

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘manual.pdf’ from 739Kb to 369Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
WARNING r-release-linux-x86_64

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘manual.pdf’ from 739Kb to 369Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both

Check History

WARNING 11 OK · 2 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE Mar 28, 2026
WARNING r-devel-linux-x86_64-debian-gcc

sizes of PDF files under ‘inst/doc’

‘gs+qpdf’ made some significant size reductions:
     compacted ‘manual.pdf’ from 739Kb to 369Kb
  consider running tools::compactPDF(gs_quality = "ebook") on these files,
  or build the source package with --compact-vignettes=both
NOTE r-oldrel-macos-arm64

installed package size

installed size is  6.0Mb
  sub-directories of 1Mb or more:
    libs   5.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.1Mb
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  6.0Mb
  sub-directories of 1Mb or more:
    libs   5.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.1Mb

Dependency Network

Dependencies Reverse dependencies Rcpp gamselBayes

Version History

new 2.0-3 Mar 10, 2026
updated 2.0-3 ← 2.0-2 diff Apr 30, 2025
updated 2.0-2 ← 2.0-1 diff Feb 11, 2025
updated 2.0-1 ← 1.0-3 diff Sep 2, 2023
updated 1.0-3 ← 1.0-2 diff Apr 11, 2023
updated 1.0-2 ← 1.0-1 diff Feb 8, 2022
new 1.0-1 Jan 19, 2022