micompr

Multivariate Independent Comparison of Observations

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.

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Description file content

Package
micompr
Title
Multivariate Independent Comparison of Observations
Version
1.1.0
Date
2018-03-09
Maintainer
Nuno Fachada
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 (>= 3.3.0)
Imports
utils, graphics, methods, stats
Suggests
biotools, MVN (>= 5.0), deseasonalize, testthat (>= 0.8), knitr, roxygen2, devtools
License
MIT + file LICENSE
URL
BugReports
https://github.com/fakenmc/micompr/issues
LazyData
true
Encoding
UTF-8
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-03-09 16:27:30 UTC; nfachada
Author
Nuno Fachada [aut, cre]
Repository
CRAN
Date/Publication
2018-03-09 16:36:22 UTC

install.packages('micompr')

1.1.0

3 months ago

https://github.com/fakenmc/micompr

Nuno Fachada

MIT + file LICENSE

Depends on

R (>= 3.3.0)

Imports

utils, graphics, methods, stats

Suggests

biotools, MVN (>= 5.0), deseasonalize, testthat (>= 0.8), knitr, roxygen2, devtools

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