Package: ReSurv 1.0.0

Emil Hofman

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_1.0.0.tar.gz
ReSurv_1.0.0.tar.gz(r-4.5-noble)ReSurv_1.0.0.tar.gz(r-4.4-noble)
ReSurv_1.0.0.tgz(r-4.4-emscripten)ReSurv_1.0.0.tgz(r-4.3-emscripten)
ReSurv.pdf |ReSurv.html✨
ReSurv/json (API)

# Install 'ReSurv' in R:

install.packages('ReSurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/edhofman/resurv/issues

3.72 score 21 scripts 7 exports 180 dependencies

Last updated 7 days agofrom:cb758a59eb. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 15 2024
R-4.5-linux	OK	Nov 15 2024

Exports:data_generator IndividualDataPP install_pyresurv ooslkh ReSurv ReSurvCV survival_crps

Dependencies:abind askpass backports base64enc BBmisc bit bit64 blob boot broom bshazard bslib cachem callr car carData cellranger checkmate cli clipr cmprsk colorspace colourpicker commonmark conflicted corrplot cowplot cpp11 crayon curl data.table DBI dbplyr Deriv digest doBy dplyr dtplyr Epi etm evaluate fansi farver fastDummies fastmap fontawesome forcats forecast Formula fracdiff fs gargle generics ggExtra ggforce ggplot2 ggpubr ggrepel ggsci ggsignif glue googledrive googlesheets4 gridExtra gtable haven here highr hms htmltools htmlwidgets httpuv httr ids isoband jquerylib jsonlite knitr labeling later lattice lifecycle lme4 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime miniUI minqa modelr munsell nlme nloptr nnet numDeriv openssl pbkrtest pillar pkgconfig plyr png polyclip polynom prettyunits processx progress promises ps purrr quadprog quantmod quantreg R6 ragg rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppTOML readr readxl rematch rematch2 reprex reshape2 reticulate rlang rmarkdown rpart rprojroot rstatix rstudioapi rvest sass scales selectr SHAPforxgboost shiny shinyjs sourcetools SparseM stringi stringr survival SynthETIC sys systemfonts textshaping tibble tidyr tidyselect tidyverse timechange timeDate tinytex tseries TTR tweenr tzdb urca utf8 uuid vctrs viridisLite vroom withr xfun xgboost xml2 xtable xts yaml zoo