BayesCR: Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions
Version 2.0

Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.

AuthorAldo M. Garay <medina_garay@yahoo.com>, Monique B. Massuia <moniquemassuia@gmail.com> Victor H. Lachos <hlachos@ime.unicamp.br>
Date of publication2015-01-31 17:26:43
MaintainerAldo M. Garay <medina_garay@yahoo.com>
LicenseGPL (>= 3.1.2)
Version2.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BayesCR")

Popular man pages

Bayes.CR: Bayesian Analysis of Censored Regression Models Under Scale...
motorettes: Accelerated Life Tests On Electrical Insulation
rSMSN: Generate SMSN Random Variables
See all...

All man pages Function index File listing

Man pages

Bayes.CR: Bayesian Analysis of Censored Regression Models Under Scale...
motorettes: Accelerated Life Tests On Electrical Insulation
rSMSN: Generate SMSN Random Variables

Functions

AcumNormalC Source code
AcumSlash Source code
BayCens Source code
Bayes.CR Man page Source code
Gibbs Source code
GibbsTruncSMN Source code
LogVerosCens Source code Source code
MHnu Source code
MHnuST Source code
MHrhoCN Source code
PearsonVII Source code
Rhat Source code
Rhat1 Source code
cdfSNI Source code
criterios Source code
dNormalC Source code
dPearsonVII Source code
dSlash Source code
dt.ls Source code
hpd Source code
motorettes Man page
pdfSNI Source code
rSMSN Man page Source code
rTGama Source code
rTN Source code
rU Source code
verosCN Source code

Files

NAMESPACE
data
data/motorettes.txt.gz
R
R/UtilitariosAssim.R
R/UtilitariosSim.r
R/Bayes.CR.r
R/Criterios.R
R/gerarSMSN.R
R/SMSNloglik.r
R/GibbsSim.r
R/GibbsAssim.R
MD5
DESCRIPTION
man
man/rSMSN.Rd
man/Bayes.CR.Rd
man/motorettes.Rd
BayesCR documentation built on May 19, 2017, 10:45 p.m.

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