Package: swamp
Type: Package
Title: Visualization, Analysis and Adjustment of High-Dimensional Data
        in Respect to Sample Annotations
Version: 1.5.1
biocViews:
Depends: impute, amap, gplots, MASS
Imports: methods
Author: Martin Lauss
Maintainer: Martin Lauss <martin.lauss@med.lu.se>
Description: Collection of functions to connect the structure of the
        data with the information on the samples. Three types of
        associations are covered: 1. linear model of principal
        components. 2. hierarchical clustering analysis. 3.
        distribution of features-sample annotation associations.
        Additionally, the inter-relation between sample annotations can
        be analyzed. Simple methods are provided for the correction of
        batch effects and removal of principal components.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2026-10-10 15:13:39 UTC; root
RoxygenNote: 7.0.2
NeedsCompilation: no
Repository: https://lau-mel.r-universe.dev
Date/Publication: 2019-12-06 14:10:02 UTC
RemoteUrl: https://github.com/cran/swamp
RemoteRef: HEAD
RemoteSha: 82c1ddfeb8e3bf578e811e9fe456c66b776536cf