hier.part: Hierarchical Partitioning

Partitioning of the independent and joint contributions of each variable in a multivariate data set, to a linear regression by hierarchical decomposition of goodness-of-fit measures of regressions using all subsets of predictors in the data set. (i.e., model (1), (2), ..., (N), (1,2), ..., (1,N), ..., (1,2,3,...,N)). A Z-score based estimate of the 'importance' of each predictor is provided by using a randomisation test.

Version: 1.0-6
Imports: gtools, betareg, MASS
Published: 2020-03-03
Author: Chris Walsh [aut, cre], Ralph Mac Nally [aut]
Maintainer: Chris Walsh <cwalsh at unimelb.edu.au>
BugReports: https://github.com/cjbwalsh/hier.part/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: hier.part citation info
Materials: README NEWS
CRAN checks: hier.part results


Reference manual: hier.part.pdf
Package source: hier.part_1.0-6.tar.gz
Windows binaries: r-prerelease: hier.part_1.0-6.zip, r-release: hier.part_1.0-6.zip, r-oldrel: hier.part_1.0-6.zip
macOS binaries: r-prerelease: hier.part_1.0-6.tgz, r-release: hier.part_1.0-6.tgz, r-oldrel: hier.part_1.0-6.tgz
Old sources: hier.part archive

Reverse dependencies:

Reverse suggests: FactorsR


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