Package: mombf
Type: Package
Version: 2.2.2
Date: 2019-04-25
Title: Bayesian Model Selection and Averaging for Non-Local and Local
        Priors
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.14.0), methods, mvtnorm, ncvreg, mgcv
Imports: Rcpp (>= 0.12.16), mclust, survival
Suggests: parallel
LinkingTo: Rcpp, RcppArmadillo
Description: Bayesian model selection and averaging for regression and mixtures for non-local and selected local priors.
License: GPL (>= 2)
URL: http://mombf.r-forge.r-project.org/
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 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: 2019-04-25 09:03:20 UTC; david
Repository: CRAN
Date/Publication: 2019-04-25 13:10:11 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 17:08:38 UTC; windows
Archs: i386, x64
