Package: mombf
Type: Package
Version: 2.2.9
Date: 2019-12-06
Title: Bayesian Model Selection and Averaging for Non-Local and Local
        Priors
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.14.0), methods, mvtnorm, ncvreg, mgcv
Imports: Rcpp (>= 0.12.16), mclust, survival
Suggests: parallel, testthat, patrick
LinkingTo: Rcpp, RcppArmadillo
Description: Bayesian model selection and averaging for regression and mixtures for non-local and selected local priors.
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 cox.R
        derivatives_nlps.R distribs.R dmom.R emomLM.R gam.R greedyGLM.R
        msPriorSpec.R modelsearch.R modelSelection.R
        modelSelectionGLM.R mombf.R normaliwish.R normmix.R
        nlpMarginal.R pmomLM.R pmomPM.R postMode.R pplProbit.R
        ppmodel.R rmom.R RcppExports.R testfunction.R zellnerLM.R
NeedsCompilation: yes
Packaged: 2019-12-06 19:40:44 UTC; David
Repository: CRAN
Date/Publication: 2019-12-06 20:40:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 08:48:23 UTC; windows
Archs: i386, x64
