Package: PPtreeExt 0.1.0
Natalia da Silva
PPtreeExt: Projection Pursuit Classification Tree Extensions
Implements extensions to the projection pursuit tree algorithm for supervised classification, see Lee, Y. (2013), <doi:10.1214/13-EJS810> and Lee, E-K. (2018) <doi:10.18637/jss.v083.i08>. The algorithm is changed in two ways: improving prediction boundaries by modifying the choice of split points-through class subsetting; and increasing flexibility by allowing multiple splits per group.
Authors:
PPtreeExt_0.1.0.tar.gz
PPtreeExt_0.1.0.zip(r-4.7-x86_64)PPtreeExt_0.1.0.zip(r-4.7-arm64)PPtreeExt_0.1.0.zip(r-4.6-x86_64)PPtreeExt_0.1.0.zip(r-4.6-arm64)
PPtreeExt_0.1.0.tar.gz(r-4.7-arm64)PPtreeExt_0.1.0.tar.gz(r-4.7-x86_64)PPtreeExt_0.1.0.tar.gz(r-4.6-arm64)PPtreeExt_0.1.0.tar.gz(r-4.6-x86_64)
PPtreeExt_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PPtreeExt/json (API)
| # Install 'PPtreeExt' in R: |
| install.packages('PPtreeExt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/natydasilva/pptreeext/issues
Last updated from:83d78644ac. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 138 | ||
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 285 | ||
| linux-release-arm64 | OK | 139 | ||
| linux-release-x86_64 | OK | 153 | ||
| windows-devel-arm64 | OK | 229 | ||
| windows-devel-x86_64 | OK | 158 | ||
| windows-release-arm64 | OK | 203 | ||
| windows-release-x86_64 | OK | 130 | ||
| wasm-release | OK | 135 |
Exports:explorappfindproj_ExtLDAopt_ExtPDAopt_ExtPPtreeExt_splitPPtreeExtclassTreeExt.construct
Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomeFormulafsggplot2gluegridExtragtablehtmltoolshttpuvinumisobandjquerylibjsonlitelabelinglaterlatticelibcoinlifecyclemagrittrMASSMatrixmemoisemimeMixSimmvtnormotelpartykitPPtreeVizpromisesR6rappdirsRColorBrewerRcppRcppArmadillorlangrpartS7sandwichsassscalesshinysourcetoolsstrucchangesurvivalvctrsviridisLitewithrxtablezoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Australian crabs | crab |
| Shiny app to compare PPtree, PPtreeExt and rpart boundaries in 2D with different simulation scenarios | explorapp |
| Find Optimal Projection for Class Separation | findproj_Ext |
| Fish catch data set | fishcatch |
| Glass data set | glass |
| The image data set | image |
| PP optimization using LDA index | LDAopt_Ext |
| Leukemia data set | leukemia |
| Lymphoma data set | lymphoma |
| NCI60 data set | NCI60 |
| The olive data set | olive |
| Parkinson data set | parkinson |
| PP optimization using PDA index | PDAopt_Ext |
| Plot Projection Pursuit Classification Tree | plot.PPtreeExtclass |
| Projection Pursuit Classification Tree with Random Variable Selection | PPtreeExt_split |
| Projection pursuit classification tree | PPtreeExtclass |
| Predict Method for Projection Pursuit Classification Tree Extensions | predict.PPtreeExtclass |
| Print Method for PPtreeExtclass Objects | print.PPtreeExtclass |
| Projection pursuit classification tree extensions | TreeExt.construct |
| Wine data set | wine |