Package: hier.part
Type: Package
Title: Hierarchical Partitioning
Description: 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
Authors@R: c(person("Chris", "Walsh", role = c("aut","cre"),
             email = "cwalsh@unimelb.edu.au"),
             person("Ralph", "Mac Nally", role = "aut",
             email = "Ralph.MacNally@gmail.com"))
Imports: gtools, betareg, MASS
BugReports: https://github.com/cjbwalsh/hier.part/issues
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2020-03-03 06:18:58 UTC; cwalsh
Author: Chris Walsh [aut, cre],
  Ralph Mac Nally [aut]
Maintainer: Chris Walsh <cwalsh@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2020-03-03 07:10:03 UTC
Built: R 4.1.0; x86_64-pc-linux-gnu; 2022-04-11 05:16:43 UTC; unix