BANFF

Package: BANFF
Type: Package
Title: Bayesian Network Feature Finder
Version: 1.0
Description: Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
Depends: R (>= 3.0.3), foreach, doParallel
License: GPL-2
Imports: DPpackage, igraph, mclust, pscl, tmvtnorm, network, coda,
graphics, methods, stats, utils
Packaged: 2015-10-12 14:09:07 UTC; zhoulan
Author: Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
Maintainer: Zhou Lan <zlan6@gatech.edu>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-12 17:03:09

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'BANFF' ...
** package 'BANFF' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'BANFF'
    finding HTML links ... done
    DPM.HODC                                html  
    EM.HODC                                 html  
    Grid.Adjmatrix.Transfer                 html  
    HyperPara.Select                        html  
    LikelihoodHistory                       html  
    Networks.Fast                           html  
    Networks.STD                            html  
    Plot.Subnetwork                         html  
    Subnetwork.Select                       html  
    SummaryAccuracy                         html  
    plot.Networks.Fast                      html  
    plot.Networks.STD                       html  
    summary.Networks.Fast                   html  
    summary.Networks.STD                    html  
** building package indices
** testing if installed package can be loaded
* DONE (BANFF)
Making 'packages.html' ... done