Package: ReSurv 1.0.1
ReSurv: Machine Learning Models for Predicting Claim Counts
Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.
Authors:
ReSurv_1.0.1.tar.gz
ReSurv_1.0.1.zip(r-4.7)ReSurv_1.0.1.zip(r-4.6)ReSurv_1.0.1.zip(r-4.5)
ReSurv_1.0.1.tgz(r-4.6-any)ReSurv_1.0.1.tgz(r-4.5-any)
ReSurv_1.0.1.tar.gz(r-4.7-any)ReSurv_1.0.1.tar.gz(r-4.6-any)
ReSurv_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ReSurv/json (API)
| # Install 'ReSurv' in R: |
| install.packages('ReSurv', repos = c('https://edhofman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/edhofman/resurv/issues
Last updated from:9bd29868fd. Checks:8 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 169 | ||
| source / vignettes | ERROR | 267 | ||
| linux-release-x86_64 | ERROR | 218 | ||
| macos-release-arm64 | ERROR | 168 | ||
| macos-oldrel-arm64 | ERROR | 134 | ||
| windows-devel | ERROR | 139 | ||
| windows-release | ERROR | 145 | ||
| windows-oldrel | ERROR | 156 | ||
| wasm-release | OK | 152 |
Exports:data_generatorIndividualDataPPinstall_pyresurvooslkhReSurvReSurvCVsurvival_crps
Dependencies:abindactuaraskpassbackportsbase64encBBmiscbitbit64blobbootbroombshazardbslibcachemcallrcarcarDatacellrangercheckmateclicliprcmprskcolorspacecolourpickercommonmarkconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyrEpietmevaluateexpintfarverfastDummiesfastmapfontawesomeforcatsforecastFormulafracdifffsgarglegenericsggExtraggforceggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenherehighrhmshtmltoolshtmlwidgetshttpuvhttridsisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclelme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrnlmenloptrnnetnumDerivopensslotelpbkrtestpillarpkgconfigplyrpngpolyclippolynomprettyunitsprocessxprogresspromisespspurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLRdpackreadrreadxlreformulasrematchrematch2reprexreshape2reticulaterlangrmarkdownrpartrprojrootrstatixrstudioapirvestS7sassscalesselectrSHAPforxgboostshinyshinyjssourcetoolsSparseMstringistringrsurvivalSynthETICsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextweenrtzdburcautf8uuidvctrsviridisLitevroomwithrxfunxgboostxml2xtableyamlzoo
