iclogcondist: Log-Concave Distribution Estimation with Interval-Censored Data

We consider the non-parametric maximum likelihood estimation of the underlying distribution function, assuming log-concavity, based on mixed-case interval-censored data. The algorithm implemented is base on Chi Wing Chu, Hok Kan Ling and Chaoyu Yuan (2024, <doi:10.48550/arXiv.2411.19878>).

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, flexsurv, ggplot2, icenReg, monotone, fdrtool
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-12-05
DOI: 10.32614/CRAN.package.iclogcondist
Author: Chi Wing Chu [aut], Hok Kan Ling [aut], Chaoyu Yuan [aut, cre]
Maintainer: Chaoyu Yuan <chaoyu.yuan at columbia.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: iclogcondist results

Documentation:

Reference manual: iclogcondist.pdf

Downloads:

Package source: iclogcondist_1.0.1.tar.gz
Windows binaries: r-devel: iclogcondist_1.0.1.zip, r-release: iclogcondist_1.0.1.zip, r-oldrel: iclogcondist_1.0.1.zip
macOS binaries: r-release (arm64): iclogcondist_1.0.1.tgz, r-oldrel (arm64): iclogcondist_1.0.1.tgz, r-release (x86_64): iclogcondist_1.0.1.tgz, r-oldrel (x86_64): iclogcondist_1.0.1.tgz

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