Package: RFpredInterval 1.0.6

RFpredInterval: Prediction Intervals with Random Forests and Boosted Forests

Implements various prediction interval methods with random forests and boosted forests. The package has two main functions: pibf() produces prediction intervals with boosted forests (PIBF) as described in Alakus et al. (2021) <arxiv:2106.08217> and rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020) <doi:10.1177/0962280219829885>.

Authors:Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb], Udaya B. Kogalur [ctb]

RFpredInterval_1.0.6.tar.gz
RFpredInterval_1.0.6.zip(r-4.5)RFpredInterval_1.0.6.zip(r-4.4)RFpredInterval_1.0.6.zip(r-4.3)
RFpredInterval_1.0.6.tgz(r-4.4-x86_64)RFpredInterval_1.0.6.tgz(r-4.4-arm64)RFpredInterval_1.0.6.tgz(r-4.3-x86_64)RFpredInterval_1.0.6.tgz(r-4.3-arm64)
RFpredInterval_1.0.6.tar.gz(r-4.5-noble)RFpredInterval_1.0.6.tar.gz(r-4.4-noble)
RFpredInterval_1.0.6.tgz(r-4.4-emscripten)RFpredInterval_1.0.6.tgz(r-4.3-emscripten)
RFpredInterval.pdf |RFpredInterval.html
RFpredInterval/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/calakus/rfpredinterval/issues

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

On CRAN:

3.40 score 5 stars 3 scripts 268 downloads 5 exports 88 dependencies

Last updated 3 years agofrom:6170733a40. Checks:OK: 3 WARNING: 5 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64NOTENov 05 2024
R-4.5-linux-x86_64WARNINGNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64WARNINGNov 05 2024
R-4.4-mac-aarch64WARNINGNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64WARNINGNov 05 2024
R-4.3-mac-aarch64WARNINGNov 05 2024

Exports:piallpibfplot.rfpredintervalprint.rfpredintervalrfpi

Dependencies:ashbase64encbitbit64bslibcachemclicliprcolorspacecpp11crayondata.tabledata.treeDiagrammeRdigestdplyrevaluatefansifarverfastmapFNNfontawesomefsgenericsggplot2gluegtablehdrcdehighrhmshtmltoolshtmlwidgetsigraphisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmunsellmvtnormnlmepillarpkgconfigpracmaprettyunitsprogresspurrrR6rangerrappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml