practicalSigni: Practical Significance Ranking of Regressors and Exact t Density (original) (raw)
Consider a possibly nonlinear nonparametric regression with p regressors. We provide evaluations by 13 methods to rank regressors by their practical significance or importance using various methods, including machine learning tools. Comprehensive methods are as follows. m6=Generalized partial correlation coefficient or GPCC by Vinod (2021)<doi:10.1007/s10614-021-10190-x> and Vinod (2022)<https://www.mdpi.com/1911-8074/15/1/32>. m7= a generalization of psychologists' effect size incorporating nonlinearity and many variables. m8= local linear partial (dy/dxi) using the 'np' package for kernel regressions. m9= partial (dy/dxi) using the 'NNS' package. m10= importance measure using the 'NNS' boost function. m11= Shapley Value measure of importance (cooperative game theory). m12 and m13= two versions of the random forest algorithm. Taraldsen's exact density for sampling distribution of correlations added.
Version: | 0.1.2 |
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Depends: | R (≥ 4.3.0), np (≥ 0.60), generalCorr (≥ 1.2) |
Imports: | xtable (≥ 1.8.4), ShapleyValue (≥ 0.2.0), NNS (≥ 0.9), randomForest (≥ 4.7), hypergeo (≥ 1.2.13) |
Suggests: | R.rsp |
Published: | 2023-12-01 |
DOI: | 10.32614/CRAN.package.practicalSigni |
Author: | Hrishikesh Vinod [aut, cre] |
Maintainer: | Hrishikesh Vinod |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | |
CRAN checks: | practicalSigni results |
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