Package: recforest 1.0.2

Juliette Murris
recforest: Random Survival Forest for Recurrent Events
A tool designed to analyze recurrent events when dealing with right-censored data and the potential presence of a terminal event (that prevents further occurrences, like death). It extends the random survival forest algorithm, adapting splitting rules and node estimators to handle complexities of recurrent events. The methodology is fully described in Murris, J., Bouaziz, O., Jakubczak, M., Katsahian, S., & Lavenu, A. (2024) (<https://hal.science/hal-04612431v1/document>).
Authors:
recforest_1.0.2.tar.gz
recforest_1.0.2.tar.gz(r-4.7-any)recforest_1.0.2.tar.gz(r-4.6-any)
recforest_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
recforest/json (API)
| # Install 'recforest' in R: |
| install.packages('recforest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- bladder1_recforest - Bladder1_recforest : Bladder Cancer Recurrences
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:490c51709a. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 207 | ||
| source / vignettes | OK | 236 | ||
| linux-release-x86_64 | OK | 241 | ||
| wasm-release | OK | 128 |
Exports:%>%is_supported_variablemake_decisiontrain_forest
Dependencies:clicodetoolsdigestdplyrfuturefuture.applygenericsglobalsgluelatticelavalifecyclelistenvmagrittrMatrixmetsmvtnormnumDerivparallellypillarpkgconfigprogressrpurrrR6RcppRcppArmadilloredarlangsplines2SQUAREMsurvivaltibbletidyselecttimeregutf8vctrswithr
Last update: 2026-01-13
Started: 2024-12-05
Last update: 2024-12-05
Started: 2024-12-05
Last update: 2024-12-05
Started: 2024-12-05
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| bladder1_recforest : Bladder Cancer Recurrences | bladder1_recforest |
| Check if a Variable is Supported | is_supported_variable |
| Make a Decision Based on Input | make_decision |
| Plot method for recforest objects | plot.recforest |
| Predict using a recforest model | predict.recforest |
| Print method for recforest objects | print.recforest |
| Summary Method for recforest Objects | summary.recforest |
| Train a Recforest Model | train_forest |