Package: micompr
Title: Multivariate Independent Comparison of Observations
Version: 1.0.2
Date: 2017-07-23
Authors@R: person("Nuno", "Fachada", email = "faken@fakenmc.com",
                  role = c("aut", "cre"))
Maintainer: Nuno Fachada <faken@fakenmc.com>
Description: A procedure for comparing multivariate samples associated with
    different groups. It uses principal component analysis to convert
    multivariate observations into a set of linearly uncorrelated statistical
    measures, which are then compared using a number of statistical methods. The
    procedure is independent of the distributional properties of samples and
    automatically selects features that best explain their differences, avoiding
    manual selection of specific points or summary statistics. It is appropriate
    for comparing samples of time series, images, spectrometric measures or
    similar multivariate observations.
Depends: R (>= 3.2.0)
Imports: utils, graphics, methods, stats
Suggests: biotools, MVN, deseasonalize, testthat (>= 0.8), knitr,
        roxygen2, devtools
License: MIT + file LICENSE
URL: http://github.com/fakenmc/micompr
BugReports: https://github.com/fakenmc/micompr/issues
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-23 19:35:50 UTC; nfachada
Author: Nuno Fachada [aut, cre]
Repository: CRAN
Date/Publication: 2017-06-24 21:31:03 UTC
Built: R 3.3.2; ; 2017-06-25 14:50:26 UTC; unix
