practicalSigni
0.1.2Practical Significance Ranking of Regressors and Exact t Density
Overview
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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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Cyclomatic complexity
- 7.0 median / 67 max
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6 6 exported
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17.3 avg / 67 max
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People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.2Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.12023-03-29 · diff ↗
- 0.1.02023-02-17
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-17
- Total releases
- 3 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.3.0
- Download size
- 469 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet