Package: spikeSlabGAM 1.1-20

Fabian Scheipl

spikeSlabGAM: Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models

Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.

Authors:Fabian Scheipl [aut, cre], Bettina Gruen [ctb]

spikeSlabGAM_1.1-20.tar.gz
spikeSlabGAM_1.1-20.tar.gz(r-4.5-noble)spikeSlabGAM_1.1-20.tar.gz(r-4.4-noble)
spikeSlabGAM_1.1-20.tgz(r-4.4-emscripten)spikeSlabGAM_1.1-20.tgz(r-4.3-emscripten)
spikeSlabGAM.pdf |spikeSlabGAM.html
spikeSlabGAM/json (API)
NEWS

# Install 'spikeSlabGAM' in R:
install.packages('spikeSlabGAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/fabian-s/spikeslabgam/issues

Uses libs:
  • openblas– Optimized BLAS

3.10 score 1 stars 1 packages 14 scripts 940 downloads 3 mentions 14 exports 46 dependencies

Last updated 2 months agofrom:60e6318800. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024

Exports:evalTermfctgetPosteriorTermlinmrfplotTermrndsmspikeAndSlabspikeSlabGAMsrfssGAM2BugsssGAMDesignu

Dependencies:bootcliclustercodacolorspacedeldirfansifarverggplot2gluegridExtragtableinterpisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmgcvmunsellmvtnormnlmepillarpkgconfigplyrquantregR2WinBUGSR6RColorBrewerRcppRcppEigenreshaperlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr

spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R

Rendered fromUsingSpikeSlabGAM-wrapper.Rnwusingutils::Sweaveon Nov 22 2024.

Last update: 2022-05-30
Started: 2022-05-30