BDWreg

Package: BDWreg
Type: Package
Version: 1.0.0
Date: 2016-01-12
Author: Hamed Haselimashhadi <hamedhaseli@gmail.com>
Maintainer: Hamed Haselimashhadi <hamedhaseli@gmail.com>
Depends: R (>= 3.0)
Description: A Bayesian regression model for discrete response, where the conditional distribution is modelled via a discrete Weibull distribution. This package provides an implementation of Metropolis-Hastings and Reversible-Jumps algorithms to draw samples from the posterior. It covers a wide range of regularizations through any two parameter prior. Examples are Laplace (Lasso), Gaussian (ridge), Uniform, Cauchy and customized priors like a mixture of priors. An extensive visual toolbox is included to check the validity of the results as well as several measures of goodness-of-fit.
Title: Bayesian Inference for Discrete Weibull Regression
License: LGPL (>= 2)
Packaged: 2016-01-12 09:46:57 UTC; mapghhh
Imports: coda, parallel, foreach, doParallel, MASS, methods, graphics,
stats, utils
URL: http://hamedhaseli.webs.com
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-01-12 12:13:15

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'BDWreg' ...
** package 'BDWreg' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'BDWreg'
    finding HTML links ... done
    bdw                                     html  
    bdw.multicore                           html  
    plot.bdw                                html  
    summary.bdw                             html  
** building package indices
** testing if installed package can be loaded
* DONE (BDWreg)
Making 'packages.html' ... done