mombf: Model Selection with Bayesian Methods and Information Criteria (original) (raw)
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 | ||
| BugReports: | https://github.com/davidrusi/mombf/issues | ||
| License: | GPL-2 | GPL-3 | file [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: | https://github.com/davidrusi/mombf | ||
| NeedsCompilation: | yes | ||
| Materials: | README | ||
| In views: | Bayesian | ||
| CRAN checks: | mombf results |
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