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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>.

Version:	0.1
Depends:	R (≥ 4.0.0), survival, nnet
Imports:	methods, stats
Published:	2024-08-20
DOI:	10.32614/CRAN.package.survivalPLANN
Author:	Yohann Foucher [aut, cre], Thomas Ollard [aut]
Maintainer:	Yohann Foucher <yohann.foucher at univ-poitiers.fr>
BugReports:	https://github.com/chupverse/survivalPLANN/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	README
CRAN checks:	survivalPLANN results

Documentation:

Reference manual:

survivalPLANN.pdf

Downloads:

Package source:	survivalPLANN_0.1.tar.gz
Windows binaries:	r-devel: survivalPLANN_0.1.zip, r-release: survivalPLANN_0.1.zip, r-oldrel: survivalPLANN_0.1.zip
macOS binaries:	r-release (arm64): survivalPLANN_0.1.tgz, r-oldrel (arm64): survivalPLANN_0.1.tgz, r-release (x86_64): survivalPLANN_0.1.tgz, r-oldrel (x86_64): survivalPLANN_0.1.tgz

Reverse dependencies:

Reverse imports:

survivalSL

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.