MLEcens: Computation of the MLE for Bivariate Interval Censored Data

We provide functions to compute the nonparametric maximum likelihood estimator (MLE) for the bivariate distribution of (X,Y), when realizations of (X,Y) cannot be observed directly. To be more precise, we consider the situation where we observe a set of rectangles in R^2 that are known to contain the unobservable realizations of (X,Y). We compute the MLE based on such a set of rectangles. The methods can also be used for univariate censored data (see data set 'cosmesis'), and for censored data with competing risks (see data set 'menopause'). We also provide functions to visualize the observed data and the MLE.

Version:	0.1-7
Published:	2022-10-18
Author:	Marloes Maathuis [aut, cre]
Maintainer:	Marloes Maathuis <marloesmaathuis at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://stat.ethz.ch/~maathuis/
NeedsCompilation:	yes
In views:	Survival
CRAN checks:	MLEcens results

Documentation:

Reference manual:

MLEcens.pdf

Downloads:

Package source:	MLEcens_0.1-7.tar.gz
Windows binaries:	r-devel: MLEcens_0.1-7.zip, r-release: MLEcens_0.1-7.zip, r-oldrel: MLEcens_0.1-7.zip
macOS binaries:	r-release (arm64): MLEcens_0.1-7.tgz, r-oldrel (arm64): MLEcens_0.1-7.tgz, r-release (x86_64): MLEcens_0.1-7.tgz, r-oldrel (x86_64): MLEcens_0.1-7.tgz
Old sources:	MLEcens archive

Reverse dependencies:

Reverse depends:	interval
Reverse imports:	EventPredInCure, icenReg
Reverse suggests:	icensBKL

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