GSM

Package: GSM
Title: Gamma Shape Mixture
Version: 1.3.2
Date: 2015-07-06
Description: Implementation of a Bayesian approach for estimating a mixture of gamma distributions in which the mixing occurs over the shape parameter. This family provides a flexible and novel approach for modeling heavy-tailed distributions, it is computationally efficient, and it only requires to specify a prior distribution for a single parameter.
Author: Sergio Venturini
Maintainer: Sergio Venturini <sergio.venturini@unibocconi.it>
Depends: gtools, methods, utils
Imports: graphics, grDevices, stats
License: GPL (>= 2)
URL: http://projecteuclid.org/euclid.aoas/1215118537
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-07-07 16:33:25 UTC; Sergio
Repository: CRAN
Date/Publication: 2015-07-08 00:27:06

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'GSM' ...
** package 'GSM' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
Creating a generic function for 'summary' from package 'base' in package 'GSM'
Creating a generic function for 'predict' from package 'stats' in package 'GSM'
Creating a generic function for 'plot' from package 'graphics' in package 'GSM'
** help
*** installing help indices
  converting help for package 'GSM'
    finding HTML links ... done
    GSM-package                             html  
    GSMDist                                 html  
    allcurves.q                             html  
    estim.gsm                               html  
    estim.gsm_theta                         html  
    gsm-class                               html  
    plot-methods                            html  
    predict-methods                         html  
    summary-methods                         html  
** building package indices
** testing if installed package can be loaded
* DONE (GSM)
Making 'packages.html' ... done