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ShapleyValue: Shapley Value Regression for Relative Importance of Attributes

Shapley Value Regression for calculating the relative importance of independent variables in linear regression with avoiding the collinearity.

Version: 0.2.0 Imports: tidyverse, kableExtra, MASS, utils Suggests: knitr, rmarkdown Published: 2021-07-27 DOI: 10.32614/CRAN.package.ShapleyValue Author: Jingyi Liang Maintainer: Jingyi Liang <jingyiliang19 at 163.com> License: MIT + file LICENSE NeedsCompilation: no CRAN checks: ShapleyValue results Documentation: Reference manual: ShapleyValue.pdf Vignettes: ShapleyValue (source, R code)
Downloads: Package source: ShapleyValue_0.2.0.tar.gz Windows binaries: r-devel: ShapleyValue_0.2.0.zip, r-release: ShapleyValue_0.2.0.zip, r-oldrel: ShapleyValue_0.2.0.zip macOS binaries: r-release (arm64): ShapleyValue_0.2.0.tgz, r-oldrel (arm64): ShapleyValue_0.2.0.tgz, r-release (x86_64): ShapleyValue_0.2.0.tgz, r-oldrel (x86_64): ShapleyValue_0.2.0.tgz Old sources: ShapleyValue archive Reverse dependencies: Reverse imports: practicalSigni Linking:

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