Package: survivalPLANN 0.1

Yohann Foucher

survivalPLANN: Neural Networks to Predict Survival

Several functions and S3 methods to predict survival by using neural networks. We implemented Partial Logistic Artificial Neural Networks (PLANN) as proposed by Biganzoli et al. (1998) <https://pubmed.ncbi.nlm.nih.gov/9618776>.

Authors:Yohann Foucher [aut, cre], Thomas Ollard [aut]

survivalPLANN_0.1.tar.gz
survivalPLANN_0.1.zip(r-4.5)survivalPLANN_0.1.zip(r-4.4)survivalPLANN_0.1.zip(r-4.3)
survivalPLANN_0.1.tgz(r-4.4-any)survivalPLANN_0.1.tgz(r-4.3-any)
survivalPLANN_0.1.tar.gz(r-4.5-noble)survivalPLANN_0.1.tar.gz(r-4.4-noble)
survivalPLANN_0.1.tgz(r-4.4-emscripten)survivalPLANN_0.1.tgz(r-4.3-emscripten)
survivalPLANN.pdf |survivalPLANN.html✨
survivalPLANN/json (API)

# Install 'survivalPLANN' in R:
install.packages('survivalPLANN', repos = c('https://chupverse.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/chupverse/survivalplann/issues

Datasets:
  • dataK - Observed Mortality Data of Patients with Cancer

On CRAN:

3.18 score 1 exports 4 dependencies

Last updated 4 months agofrom:9a1800209f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:survivalPLANN

Dependencies:latticeMatrixnnetsurvival