mombf: Model Selection with Bayesian Methods and Information Criteria

Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).

Version: 3.5.4
Depends: R (≥ 2.14.0), methods, mvtnorm, ncvreg, mgcv
Imports: Rcpp (≥ 0.12.16), dplyr, glasso, glmnet, intervals, Matrix, mclust, pracma, sparseMatrixStats, survival
LinkingTo: Rcpp, RcppArmadillo
Suggests: parallel, testthat, patrick
Published: 2024-02-06
DOI: 10.32614/CRAN.package.mombf
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril, Miquel Torrens
Maintainer: David Rossell <rosselldavid at>
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
NeedsCompilation: yes
Materials: README ChangeLog
In views: Bayesian
CRAN checks: mombf results


Reference manual: mombf.pdf
Vignettes: Manual for the mombf library


Package source: mombf_3.5.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mombf_3.5.4.tgz, r-oldrel (arm64): mombf_3.5.4.tgz, r-release (x86_64): mombf_3.5.4.tgz, r-oldrel (x86_64): mombf_3.5.4.tgz
Old sources: mombf archive

Reverse dependencies:

Reverse depends: GWASinlps


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