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condSURV: Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

Method to implement some newly developed methods for the estimation of the conditional survival function. See Meira-Machado, Sestelo and Goncalves (2016) <doi:10.1002/bimj.201500038>.

Version: 2.0.4
Depends: R (≥ 3.0.0)
Imports: KernSmooth, np, survival, doParallel, parallel, doRNG, foreach
Published: 2023-03-01
Author: Luis Meira-Machado and Marta Sestelo
Maintainer: Marta Sestelo <sestelo at uvigo.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
In views: Survival
CRAN checks: condSURV results

Documentation:

Reference manual: condSURV.pdf

Downloads:

Package source: condSURV_2.0.4.tar.gz
Windows binaries: r-devel: condSURV_2.0.4.zip, r-release: condSURV_2.0.4.zip, r-oldrel: condSURV_2.0.4.zip
macOS binaries: r-release (arm64): condSURV_2.0.4.tgz, r-oldrel (arm64): condSURV_2.0.4.tgz, r-release (x86_64): condSURV_2.0.4.tgz, r-oldrel (x86_64): condSURV_2.0.4.tgz
Old sources: condSURV archive

Reverse dependencies:

Reverse imports: cenROC
Reverse suggests: BayesFBHborrow, GFDrmst, GFDsurv

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.
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