Package: mombf
Type: Package
Version: 3.5.4
Date: 2024-02-05
Title: Model Selection with Bayesian Methods and Information Criteria
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril, Miquel Torrens
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.14.0), methods, mvtnorm, ncvreg, mgcv
Suggests: parallel, testthat, patrick
Imports: Rcpp (>= 0.12.16), dplyr, glasso, glmnet, intervals, Matrix,
        mclust, pracma, sparseMatrixStats, survival
LinkingTo: Rcpp, RcppArmadillo
Description: Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).
License: GPL (>= 2) | file LICENSE
URL: https://github.com/davidrusi/mombf
BugReports: https://github.com/davidrusi/mombf/issues
LazyLoad: yes
Collate: AllClasses.R AllGenerics.R alapl.R bms_ortho.R cil.R cox.R
        derivatives_nlps.R distribs.R dmom.R gam.R ggm.R greedyGLM.R
        infocriteria.R initParameters.R localnulltest.R msPriorSpec.R
        modelsearch.R modelSelection.R modelSelectionGLM.R mombf.R
        normaliwish.R normmix.R nlpMarginal.R postMode.R rmom.R
        RcppExports.R testfunction.R
NeedsCompilation: yes
Packaged: 2024-02-05 21:30:23 UTC; u138097
Repository: CRAN
Date/Publication: 2024-02-06 23:20:02 UTC
Built: R 4.4.0; x86_64-apple-darwin17.7.0; 2024-05-01 10:53:39 UTC; unix
