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practicalSigni
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Download and install practicalSigni package within the R console
Install from CRAN:
install.packages("practicalSigni")
Install from Github:
library("remotes")
install_github("cran/practicalSigni") Install by package version:
library("remotes")
install_version("practicalSigni", "0.1.2") Attach the package and use:
library("practicalSigni")
Maintained by
Hrishikesh Vinod
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-17
Latest Update: 2023-12-01
Description:
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) and
Vinod (2022).
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.
How to cite:
Hrishikesh Vinod (2023). practicalSigni: Practical Significance Ranking of Regressors and Exact t Density. R package version 0.1.2, https://cran.r-project.org/web/packages/practicalSigni. Accessed 17 Jul. 2026.
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Complete documentation for practicalSigni
Functions, R codes and Examples using
the practicalSigni R package
Some associated functions: effSizCut . fncut . pracSig13 . pvTarald . qTarald . reportRank .
Some associated R codes: effSizCut.R . fncut.R . pracSig13.R . pvTarald.R . qTarald.R . reportRank.R . Full practicalSigni package functions and examples
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