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:Emil Hofman [aut, cre, cph], Gabriele Pittarello [aut, cph], Munir Hiabu [aut, cph]

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

On CRAN:

Conda:

3.82 score 2 stars 33 scripts 601 downloads 7 exports 180 dependencies

Last updated from:9bd29868fd. Checks:8 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR169
source / vignettesERROR267
linux-release-x86_64ERROR218
macos-release-arm64ERROR168
macos-oldrel-arm64ERROR134
windows-develERROR139
windows-releaseERROR145
windows-oldrelERROR156
wasm-releaseOK152

Exports:data_generatorIndividualDataPPinstall_pyresurvooslkhReSurvReSurvCVsurvival_crps

Dependencies:abindactuaraskpassbackportsbase64encBBmiscbitbit64blobbootbroombshazardbslibcachemcallrcarcarDatacellrangercheckmateclicliprcmprskcolorspacecolourpickercommonmarkconflictedcorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDerivdigestdoBydplyrdtplyrEpietmevaluateexpintfarverfastDummiesfastmapfontawesomeforcatsforecastFormulafracdifffsgarglegenericsggExtraggforceggplot2ggpubrggrepelggsciggsignifgluegoogledrivegooglesheets4gridExtragtablehavenherehighrhmshtmltoolshtmlwidgetshttpuvhttridsisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclelme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrnlmenloptrnnetnumDerivopensslotelpbkrtestpillarpkgconfigplyrpngpolyclippolynomprettyunitsprocessxprogresspromisespspurrrquantregR6raggrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLRdpackreadrreadxlreformulasrematchrematch2reprexreshape2reticulaterlangrmarkdownrpartrprojrootrstatixrstudioapirvestS7sassscalesselectrSHAPforxgboostshinyshinyjssourcetoolsSparseMstringistringrsurvivalSynthETICsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextweenrtzdburcautf8uuidvctrsviridisLitevroomwithrxfunxgboostxml2xtableyamlzoo