Package: practicalSigni 0.1.2

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.

Authors:Hrishikesh Vinod [aut, cre]

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manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
practicalSigni/json (API)

# Install 'practicalSigni' in R:
install.packages('practicalSigni', repos = c('https://hdvinod.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 190 downloads 6 exports 178 dependencies

Last updated from:76e3b22e71. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK230
source / vignettesOK265
linux-release-x86_64OK214
macos-release-arm64OK119
macos-oldrel-arm64OK103
windows-develOK125
windows-releaseOK144
windows-oldrelOK116
wasm-releaseOK197

Exports:effSizCutfncutpracSig13pvTaraldqTaraldreportRank

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practicalSigni-vignette2

Last update: 2023-12-02
Started: 2023-12-02

practicalSigni-vignette

Last update: 2023-02-17
Started: 2023-02-17