Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.
| Version: | 2.0 |
| Depends: | R (≥ 3.1.2) |
| Imports: | mvtnorm, Rlab, truncdist, mnormt, rootSolve |
| Published: | 2015-01-31 |
| Author: | Aldo M. Garay, Monique B. Massuia Victor H. Lachos |
| Maintainer: | Aldo M. Garay <medina_garay at yahoo.com> |
| License: | |
| NeedsCompilation: | no |
| CRAN checks: | BayesCR results |
| Reference manual: | BayesCR.pdf |
| Package source: | BayesCR_2.0.tar.gz |
| Windows binaries: | r-devel: BayesCR_2.0.zip, r-release: BayesCR_2.0.zip, r-oldrel: BayesCR_2.0.zip |
| OS X Mavericks binaries: | r-release: BayesCR_2.0.tgz, r-oldrel: BayesCR_2.0.tgz |
| Old sources: | BayesCR archive |
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