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Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.
| Version: | 2.1 |
| Depends: | R (≥ 3.4.1) |
| Imports: | rootSolve, truncdist, mvtnorm, mnormt |
| Published: | 2017-09-11 |
| Author: | Aldo M. Garay, Monique B. Massuia, Victor H. Lachos, Eraldo B. Anjos Filho |
| Maintainer: | Aldo M. Garay <medina_garay at yahoo.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | Bayesian |
| CRAN checks: | BayesCR results |
| Reference manual: | BayesCR.pdf |
| Package source: | BayesCR_2.1.tar.gz |
| Windows binaries: | r-devel: BayesCR_2.1.zip, r-release: BayesCR_2.1.zip, r-oldrel: BayesCR_2.1.zip |
| macOS binaries: | r-release (arm64): BayesCR_2.1.tgz, r-oldrel (arm64): BayesCR_2.1.tgz, r-release (x86_64): BayesCR_2.1.tgz, r-oldrel (x86_64): BayesCR_2.1.tgz |
| Old sources: | BayesCR archive |
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These binaries (installable software) and packages are in development.
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