logconcens: Maximum Likelihood Estimation of a log-Concave Density Based on Censored Data

Based on right or interval censored data, compute the maximum likelihood estimator of a (sub)probability density under the assumption that it is log-concave. For further information see Duembgen, Rufibach and Schuhmacher (2014) <doi:10.1214/14-EJS930>.

Version: 0.17-0
Depends: R (≥ 2.15.0)
Imports: grDevices, graphics, stats, utils
Suggests: logcondens
Published: 2019-11-27
Author: Dominic Schuhmacher, Kaspar Rufibach, Lutz Duembgen
Maintainer: Dominic Schuhmacher <dominic.schuhmacher at mathematik.uni-goettingen.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.dominic.schuhmacher.name, http://www.kasparrufibach.ch, https://www.imsv.unibe.ch/ueber_uns/personen/prof_dr_duembgen_lutz
NeedsCompilation: yes
In views: Survival
CRAN checks: logconcens results


Reference manual: logconcens.pdf
Package source: logconcens_0.17-0.tar.gz
Windows binaries: r-devel: logconcens_0.17-0.zip, r-release: logconcens_0.17-0.zip, r-oldrel: logconcens_0.17-0.zip
macOS binaries: r-release: logconcens_0.17-0.tgz, r-oldrel: logconcens_0.17-0.tgz
Old sources: logconcens archive


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