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BayesCR: Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions

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
DOI: 10.32614/CRAN.package.BayesCR
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

Documentation:

Reference manual: BayesCR.pdf

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.