Last data update: 2014.03.03

Bayesianbetareg

Package: Bayesianbetareg
Type: Package
Title: Bayesian Beta regression: joint mean and precision modeling
License: GPL (>= 2)
Version: 1.2
Date: 2014-07-01
Author: The code in R and guide document were prepared by Margarita Marin,
Javier Rojas, Daniel Jaimes and Hugo Andres Gutierrez Rojas, under the
direction of professor Edilberto Cepeda-Cuervo and with collaboration of
Martha Corrales, Maria Fernanda Zarate, Ricardo Duplat and Luis F
Villarraga.
Maintainer: Margarita Marin <mmarinj@unal.edu.co>
Depends: R (>= 2.12.1), mvtnorm, betareg
Description: This package performs beta regression
Packaged: 2014-07-03 15:38:42 UTC; psirusteam
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-07-03 20:59:26

3 images, 16 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'Bayesianbetareg' ...
** package 'Bayesianbetareg' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'Bayesianbetareg'
    finding HTML links ... done
    Bayesianbetareg-package                 html  
    Bayesianbetareg                         html  
    BayesianbetaregEst                      html  
    betaresiduals                           html  
    criteria                                html  
    diagnostics                             html  
    dpostb                                  html  
    dpostg                                  html  
    gammakernel                             html  
    gammaproposal                           html  
    mukernel                                html  
    muproposal                              html  
    plotresiduals                           html  
    print.Bayesianbetareg                   html  
    print.summary.Bayesianbetareg           html  
    summary.Bayesianbetareg                 html  
** building package indices
** testing if installed package can be loaded
* DONE (Bayesianbetareg)
Making 'packages.html' ... done