Package: roseRF 0.1.0
Elliot H. Young
roseRF: ROSE Random Forests for Robust Semiparametric Efficient Estimation
ROSE (RObust Semiparametric Efficient) random forests for robust semiparametric efficient estimation in partially parametric models (containing generalised partially linear models). Details can be found in the paper by Young and Shah (2024) <doi:10.48550/arXiv.2410.03471>.
Authors:
roseRF_0.1.0.tar.gz
roseRF_0.1.0.tar.gz(r-4.7-any)roseRF_0.1.0.tar.gz(r-4.6-any)
roseRF_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
roseRF/json (API)
| # Install 'roseRF' in R: |
| install.packages('roseRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5b78848460. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 184 | ||
| source / vignettes | OK | 199 | ||
| linux-release-x86_64 | OK | 220 | ||
| wasm-release | OK | 153 |
Exports:roseRF_gplmroseRF_plivroseRF_plmunweighted_gplmunweighted_plm
Dependencies:backportsbase64encBBmisccaretcheckmateclasscliclockcodetoolsconfigcpp11data.tablediagramDiceKrigingdigestdplyre1071farverfastmatchforeachfuturefuture.applygenericsggplot2glmnetglobalsgluegowergrfgtablehardhathereipredisobanditeratorsjsonlitekerasKernSmoothlabelinglatticelavalhslifecyclelistenvlmtestlubridatemagrittrMASSMatrixmgcvmlrmlrMBOModelMetricsnlmennetnumDerivparallellyparallelMapParamHelperspillarpkgconfigplyrpngpROCprocessxprodlimprogressrproxypspurrrR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLrecipesreshape2reticulaterlangrpartrprojrootrstudioapiS7sandwichscalesshapesmoofsparsevctrsSQUAREMstringistringrsurvivaltensorflowtfautographtfrunstibbletidyrtidyselecttimechangetimeDatetuneRangertzdbutf8vctrsviridisLitewhiskerwithrxgboostXMLyamlzeallotzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Print for a rose random forest fitted object | print.roseforest |
| ROSE random forest estimator for the generalised partially linear model | roseRF_gplm |
| ROSE random forest estimator for the partially linear instrumental variable model | roseRF_pliv |
| ROSE random forest estimator for the partially linear model | roseRF_plm |
| Summary for a rose random forest fitted object | summary.roseforest |
| Unweighted (baseline) estimator for the generalised partially linear model | unweighted_gplm |
| Unweighted (baseline) estimator for the partially linear model | unweighted_plm |