Package: recforest 1.0.0
Juliette Murris
recforest: Random Survival Forest for Recurrent Events
Analyze recurrent events with right-censored data and the potential presence of a terminal event (that prevents further occurrences, like death). 'recofest' 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_1.0.0.tar.gz
recforest_1.0.0.tar.gz(r-4.5-noble)recforest_1.0.0.tar.gz(r-4.4-noble)
recforest_1.0.0.tgz(r-4.4-emscripten)recforest_1.0.0.tgz(r-4.3-emscripten)
recforest.pdf |recforest.html✨
recforest/json (API)
NEWS
| # 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 17 days agofrom:b0e640e37c. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 06 2024 |
| R-4.5-linux | OK | Dec 06 2024 |
Exports:%>%is_supported_variablemake_decisiontrain_forest
Dependencies:clicodetoolscolorspacedigestdplyrfansifarverfuturefuture.applygenericsggplot2globalsgluegtableisobandlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixmetsmgcvmunsellmvtnormnlmenumDerivparallellypillarpkgconfigprogressrpurrrR6RColorBrewerRcppRcppArmadilloredarlangscalessplines2SQUAREMsurvivaltibbletidyselecttimeregutf8vctrsviridisLitewithr
How can I assess the influence of explanatory variables on the event?
Rendered fromexplain.Rmdusingknitr::rmarkdownon Dec 06 2024.Last update: 2024-12-05
Started: 2024-12-05
How can I get more details about the methodology?
Rendered frommethod.Rmdusingknitr::rmarkdownon Dec 06 2024.Last update: 2024-12-05
Started: 2024-12-05
How I can predict events on a new dataset?
Rendered frompredict.Rmdusingknitr::rmarkdownon Dec 06 2024.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 |