{ "_id": "6a104294acfb0bcc41c9dbf5", "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\"),\nemail= \"vinod@fordham.edu\"))", "Encoding": "UTF-8", "VignetteBuilder": "R.rsp", "Description": "Consider a possibly nonlinear nonparametric regression\nwith p regressors. We provide evaluations by 13 methods to rank\nregressors by their practical significance or importance using\nvarious methods, including machine learning tools.\nComprehensive methods are as follows. m6=Generalized partial\ncorrelation coefficient or GPCC by Vinod\n(2021) and Vinod\n(2022). m7= a\ngeneralization of psychologists' effect size incorporating\nnonlinearity and many variables. m8= local linear partial\n(dy/dxi) using the 'np' package for kernel regressions. m9=\npartial (dy/dxi) using the 'NNS' package. m10= importance\nmeasure using the 'NNS' boost function. m11= Shapley Value\nmeasure of importance (cooperative game theory). m12 and m13=\ntwo versions of the random forest algorithm. Taraldsen's exact\ndensity for sampling distribution of correlations added.", "License": "GPL (>= 2)", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 07:25:46 UTC", "User": "root" }, "Author": "Hrishikesh Vinod [aut, cre]", "Maintainer": "Hrishikesh Vinod ", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibfribidi-dev libglu1-mesa-dev make libharfbuzz-dev texlive\nlibicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev\nlibwebp-dev libxml2-dev libgl1-mesa-dev libssl-dev pari-gp\nlibx11-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", "MD5sum": "37a6872cbd1c94294d48347cda41f1f1", "_user": "hdvinod", "_type": "src", "_file": "practicalSigni_0.1.2.tar.gz", "_fileid": "f47fa770b8798c6aca1c33840db886c6c508428a186c129eaf5f741ff2278ff7", 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