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-4.5)survivalmodels_0.1.191.zip(r-4.4)survivalmodels_0.1.191.zip(r-4.3)
survivalmodels_0.1.191.tgz(r-4.4-x86_64)survivalmodels_0.1.191.tgz(r-4.4-arm64)survivalmodels_0.1.191.tgz(r-4.3-x86_64)survivalmodels_0.1.191.tgz(r-4.3-arm64)
survivalmodels_0.1.191.tar.gz(r-4.5-noble)survivalmodels_0.1.191.tar.gz(r-4.4-noble)
survivalmodels_0.1.191.tgz(r-4.4-emscripten)survivalmodels_0.1.191.tgz(r-4.3-emscripten)
survivalmodels.pdf |survivalmodels.html✨
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 8 months agofrom:dd1db0ca58. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-win-x86_64 | OK | Oct 16 2024 |
R-4.5-linux-x86_64 | OK | Oct 16 2024 |
R-4.4-win-x86_64 | OK | Oct 16 2024 |
R-4.4-mac-x86_64 | OK | Oct 16 2024 |
R-4.4-mac-aarch64 | OK | Oct 16 2024 |
R-4.3-win-x86_64 | OK | Oct 16 2024 |
R-4.3-mac-x86_64 | OK | Oct 16 2024 |
R-4.3-mac-aarch64 | OK | Oct 16 2024 |
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