{ "_id": "6a1f0927b401979e7341c2d0", "Package": "forestRK", "Version": "0.0-5", "Encoding": "UTF-8", "Title": "Implements the Forest-R.K. Algorithm for Classification Problems", "Description": "Provides functions that calculates common types of\nsplitting criteria used in random forests for classification\nproblems, as well as functions that make predictions based on a\nsingle tree or a Forest-R.K. model; the package also provides\nfunctions to generate importance plot for a Forest-R.K. model,\nas well as the 2D multidimensional-scaling plot of data points\nthat are colour coded by their predicted class types by the\nForest-R.K. model. This package is based on: Bernard, S.,\nHeutte, L., Adam, S., (2008, ISBN:978-3-540-85983-3)\n\"Forest-R.K.: A New Random Forest Induction Method\", Fourth\nInternational Conference on Intelligent Computing, September\n2008, Shanghai, China, pp.430-437.", "Authors@R": "c(\nperson(\"Hyunjin\", \"Cho\", email = \"h56cho@uwaterloo.ca\", role = c(\"aut\",\"cre\")),\nperson(\"Rebecca\", \"Su\", email = \"y57su@uwaterloo.ca\", role = \"ctb\"))", "Author": "Hyunjin Cho [aut, cre], Rebecca Su [ctb]", "Maintainer": "Hyunjin Cho ", "License": "GPL (>= 3) | file LICENSE", "Note": "The package is also based on the discussion\nhttps://stats.stackexchange.com/questions/168964/building-a-regression-tree-with-r-from-scratch/168967#168967", "RoxygenNote": "6.1.1", "VignetteBuilder": "R.rsp", "Config/pak/sysreqs": "libglpk-dev libicu-dev libxml2-dev", "Repository": "https://h56cho.r-universe.dev", "Date/Publication": "2019-07-21 18:55:23 UTC", "RemoteUrl": "https://github.com/h56cho/forestrk", 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predictions from a 'forestRK' model.", "topics": [ "mds.plot.forestRK" ] }, { "page": "pred.forestRK", "title": "Make predictions on the test data based on the forestRK model constructed from the training data", "topics": [ "pred.forestRK" ] }, { "page": "pred.treeRK", "title": "Make predictions on the test observations based on a rktree model", "topics": [ "pred.treeRK" ] }, { "page": "var.used.forestRK", "title": "Extract the list of covariates used to perform the splits to generate a particular tree(s) in a 'forestRK' object", "topics": [ "var.used.forestRK" ] }, { "page": "x.organizer", "title": "Numericizing a data frame of covariates from the original dataset via Binary or Numeric Encoding", "topics": [ "x.organizer" ] }, { "page": "y.organizer", "title": "Numericize the vector containing categorical class type('y') of the original data", "topics": [ "y.organizer" ] } ], "_readme": "https://github.com/h56cho/forestrk/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "digest", 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