Package: ClusterSignificance
Title: The ClusterSignificance package provides tools to assess if
        clusters have a separation different from random or permuted
        data
Version: 1.2.3
Author: Jason T. Serviss and Jesper R. Gadin
Maintainer: Jason T Serviss <jason.serviss@ki.se>
Description: The ClusterSignificance package provides tools to assess
    if clusters have a separation different from random or permuted
    data. ClusterSignificance investigates clusters of two or more
    groups by first, projecting all points onto a one dimensional
    line. Cluster separations are then scored and the probability
    of the seen separation being due to chance is evaluated using a
    permutation method.
Depends: R (>= 3.3.0)
Imports: methods, pracma, princurve, scatterplot3d, RColorBrewer,
        grDevices, graphics, utils
License: GPL-3
LazyData: true
Suggests: knitr, rmarkdown, testthat, BiocStyle, ggplot2, plsgenomics
VignetteBuilder: knitr
biocViews: Clustering, Classification, PrincipalComponent,
        StatisticalMethod
NeedsCompilation: no
Collate: 'ClusterSignificance-package.R' 'All-classes.R'
        'classifier-methods.R' 'initialize-methods.R' 'mlpMatrix.R'
        'pcpMatrix.R' 'permutation-methods.R' 'plot-methods.R'
        'projection-methods.R' 'show-methods.R'
RoxygenNote: 5.0.1.9000
Packaged: 2017-03-18 03:22:11 UTC; biocbuild
Built: R 3.3.3; ; 2017-03-18 04:34:12 UTC; windows
