Last data update: 2014.03.03


Package: pandaR
Title: PANDA Algorithm
Version: 1.4.2
Author: Dan Schlauch, Albert Young, Joseph N. Paulson
Maintainer: Joseph N. Paulson <>, Dan Schlauch <>
Description: Runs PANDA, an algorithm for discovering novel network structure
by combining information from multiple complementary data sources.
Depends: R (>= 3.0.0), methods, Biobase, BiocGenerics,
Imports: matrixStats, igraph, ggplot2, grid, reshape, plyr, RUnit,
Suggests: rmarkdown
biocViews: StatisticalMethod, GraphAndNetwork, Microarray,
GeneRegulation, NetworkInference, GeneExpression,
Transcription, Network
VignetteBuilder: rmarkdown
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 05:25:22 UTC; biocbuild

● BiocViews: GeneExpression, GeneRegulation, GraphAndNetwork, Microarray, Network, NetworkInference, StatisticalMethod, Transcription
11 images, 17 functions, 3 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'pandaR' ...
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'pandaR'
    finding HTML links ... done
    calcDegree                              html  
    calcDegreeDifference                    html  
    importPandaMatlab                       html  
    multiplot                               html  
    panda                                   html  
    pandaR                                  html  
    pandaResult                             html  
    pandaResultPairs                        html  
    pandaToyData                            html  
    plot.panda                              html  
    plotCommunityDetection                  html  
    plotGraph                               html  
    plotZ                                   html  
    plotZbyTF                               html  
    print.panda                             html  
    subnetwork                              html  
    summary.panda                           html  
    targetedGenes                           html  
    testMotif                               html  
    topedges                                html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (pandaR)
Making 'packages.html' ... done