Package: survivalmodels 0.1.191
survivalmodels: Models for Survival Analysis
Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk or survival probabilities. Models are either implemented from 'Python' via 'reticulate' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox>.
Authors:
survivalmodels_0.1.191.tar.gz
survivalmodels_0.1.191.zip(r-4.7)survivalmodels_0.1.191.zip(r-4.6)survivalmodels_0.1.191.zip(r-4.5)
survivalmodels_0.1.191.tgz(r-4.6-x86_64)survivalmodels_0.1.191.tgz(r-4.6-arm64)survivalmodels_0.1.191.tgz(r-4.5-x86_64)survivalmodels_0.1.191.tgz(r-4.5-arm64)
survivalmodels_0.1.191.tar.gz(r-4.7-arm64)survivalmodels_0.1.191.tar.gz(r-4.7-x86_64)survivalmodels_0.1.191.tar.gz(r-4.6-arm64)survivalmodels_0.1.191.tar.gz(r-4.6-x86_64)
survivalmodels_0.1.191.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
survivalmodels/json (API)
| # Install 'survivalmodels' in R: |
| install.packages('survivalmodels', repos = c('https://foucher-y.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/foucher-y/survivalmodels/issues
Last updated from:dd1db0ca58. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 116 | ||
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 200 | ||
| linux-release-arm64 | OK | 112 | ||
| linux-release-x86_64 | OK | 122 | ||
| macos-release-arm64 | OK | 155 | ||
| macos-release-x86_64 | OK | 364 | ||
| macos-oldrel-arm64 | OK | 134 | ||
| macos-oldrel-x86_64 | OK | 229 | ||
| windows-devel | OK | 113 | ||
| windows-release | OK | 131 | ||
| windows-oldrel | OK | 92 | ||
| wasm-release | OK | 102 |
Exports:build_keras_netbuild_pytorch_netcindexcoxtimedeephitdeepsurvget_keras_optimizerget_pycox_activationget_pycox_callbacksget_pycox_initget_pycox_optiminstall_kerasinstall_pycoxinstall_torchloghazpchazardpycox_prepare_train_datarequireNamespacesset_seedsimsurvdatasurv_to_risk
Dependencies:Rcpp
