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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 |
DOI: | 10.32614/CRAN.package.MLEcens |
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 [issues need fixing before 2024-09-20] |
Reference manual: | MLEcens.pdf |
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 depends: | interval |
Reverse imports: | EventPredInCure, icenReg |
Reverse suggests: | icensBKL |
Please use the canonical form https://CRAN.R-project.org/package=MLEcens to link to this page.
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.