DESCRIPTION

Package: mombf
Type: Package
Version: 4.0.0
Date: 2025-02-05
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
Suggests: parallel, testthat, patrick
biocViews:
Imports: Rcpp (>= 0.12.16), dplyr, glmnet, huge, intervals, Matrix, mclust, mgcv, mvtnorm, ncvreg, 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