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practicalSigni

Practical Significance Ranking of Regressors and Exact t Density

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.

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VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 practicalSigni_0.1.2.tar.gz 503.9 KiB
0.1.2 rolling linux/noble R-4.5 practicalSigni_0.1.2.tar.gz 503.8 KiB
0.1.2 rolling source/ R- practicalSigni_0.1.2.tar.gz 470.8 KiB
0.1.2 latest linux/jammy R-4.5 practicalSigni_0.1.2.tar.gz 503.9 KiB
0.1.2 latest linux/noble R-4.5 practicalSigni_0.1.2.tar.gz 503.8 KiB
0.1.2 latest source/ R- practicalSigni_0.1.2.tar.gz 470.8 KiB
0.1.2 2026-04-26 source/ R- practicalSigni_0.1.2.tar.gz 470.8 KiB
0.1.2 2026-04-23 source/ R- practicalSigni_0.1.2.tar.gz 470.8 KiB
0.1.2 2026-04-09 windows/windows R-4.5 practicalSigni_0.1.2.zip 507.7 KiB
0.1.2 2025-04-20 source/ R- practicalSigni_0.1.2.tar.gz 470.8 KiB

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