Package: randomForestSGT 0.0.1.74

randomForestSGT: Random Forest Super Greedy Trees

Super greedy trees (SGTs) with univariate and multivariate geometric cuts are obtained using lasso and coordinate descent.

Authors:Min Lu [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]

randomForestSGT_0.0.1.74.tar.gz

randomForestSGT_0.0.1.74.tgz(r-4.6-x86_64)randomForestSGT_0.0.1.74.tgz(r-4.6-arm64)randomForestSGT_0.0.1.74.tgz(r-4.5-x86_64)randomForestSGT_0.0.1.74.tgz(r-4.5-arm64)
randomForestSGT_0.0.1.74.tar.gz(r-4.7-arm64)randomForestSGT_0.0.1.74.tar.gz(r-4.7-x86_64)randomForestSGT_0.0.1.74.tar.gz(r-4.6-arm64)randomForestSGT_0.0.1.74.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
randomForestSGT/json (API)
NEWS

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

Bug tracker:https://github.com/kogalur/randomforestsgt/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openmp

2.70 score 439 downloads 14 exports 77 dependencies

Last updated from:d22825ab16. Checks:8 NOTE, 1 OK, 4 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE161
linux-devel-x86_64NOTE162
source / vignettesOK212
linux-release-arm64NOTE156
linux-release-x86_64NOTE160
macos-release-arm64NOTE141
macos-release-x86_64NOTE391
macos-oldrel-arm64NOTE117
macos-oldrel-x86_64NOTE230
windows-develFAIL67
windows-releaseFAIL83
windows-oldrelFAIL83
wasm-releaseFAIL142

Exports:cdlassocdlasso.rfsgtfilter.custom.rfsgtfilter.rfsgtget.betamake.baselearnerpredict.rfsgtprint.rfsgtprint.vimp.rfsgtrfsgtrfsgt.newstune.hcutuse.tune.hcutvimp.rfsgt

Dependencies:BARTbase64encbitbit64bslibcachemclicliprcodetoolscpp11crayondata.treeDiagrammeRdigestdplyrevaluatefarverfastmapfontawesomeforeachfsgbmgenericsglmnetgluehighrhmshtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimenlmepillarpkgconfigprettyunitsprogresspurrrR6randomForestSRCrappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrstudioapisassscalesshapestringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8varProvctrsviridisLitevisNetworkvroomwithrxfunyaml