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)[https://doi.org/10.1007%2Fs10614-021-10190-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.
- Version0.1.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release12/01/2023
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Hrishikesh Vinod
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Last 30 days
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Last 365 days
This package has been downloaded 1,768 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 21, 2025 with 25 downloads.
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- Depends2 packages
- Imports5 packages
- Suggests1 package