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.


Reference manual

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1.0-6 by Chris Walsh, a year ago

Report a bug at https://github.com/cjbwalsh/hier.part/issues

Browse source code at https://github.com/cran/hier.part

Authors: Chris Walsh [aut, cre] , Ralph Mac Nally [aut]

Documentation:   PDF Manual  

GPL license

Imports gtools, betareg, MASS

Depended on by tvgarch.

Suggested by FactorsR.

See at CRAN