Package: practicalSigni Type: Package Title: Practical Significance Ranking of Regressors and Exact t Density Version: 0.1.2 Date: 2023-11-29 Authors@R: c(person("Hrishikesh", "Vinod", role = c("aut", "cre"), email= "vinod@fordham.edu")) Encoding: UTF-8 Depends: R (>= 4.3.0), np (>= 0.60), generalCorr (>= 1.2), Imports: xtable (>= 1.8.4), ShapleyValue (>= 0.2.0), NNS (>= 0.9), randomForest (>= 4.7), hypergeo (>= 1.2.13), Suggests: R.rsp VignetteBuilder: R.rsp 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. License: GPL (>= 2) RoxygenNote: 7.2.3 NeedsCompilation: no Packaged: 2026-06-10 09:12:43 UTC; root Author: Hrishikesh Vinod [aut, cre] Maintainer: Hrishikesh Vinod Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev libglu1-mesa-dev make libharfbuzz-dev texlive libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libgl1-mesa-dev libssl-dev pari-gp libx11-dev zlib1g-dev Repository: https://hdvinod.r-universe.dev Date/Publication: 2023-12-02 02:34:46 UTC RemoteUrl: https://github.com/cran/practicalSigni RemoteRef: HEAD RemoteSha: 76e3b22e716a8caecd1d5446e2da5fd976f94ab6