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MLEcens  

Computation of the MLE for Bivariate Interval Censored Data
View on CRAN: Click here


Download and install MLEcens package within the R console
Install from CRAN:
install.packages("MLEcens")

Install from Github:
library("remotes")
install_github("cran/MLEcens")

Install by package version:
library("remotes")
install_version("MLEcens", "0.1-7.1")



Attach the package and use:
library("MLEcens")
Maintained by
Marloes Maathuis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-08-01
Latest Update: 2024-09-21
Description:
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.
How to cite:
Marloes Maathuis (2007). MLEcens: Computation of the MLE for Bivariate Interval Censored Data. R package version 0.1-7.1, https://cran.r-project.org/web/packages/MLEcens. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1-0 (2007-08-01 12:49), 0.1-1 (2007-08-04 09:51), 0.1-2 (2007-08-07 11:09), 0.1-3 (2010-04-15 15:49), 0.1-4 (2013-04-02 14:58), 0.1-5 (2022-03-31 14:50), 0.1-7 (2022-10-18 16:18), (2026-07-09 08:09)
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Complete documentation for MLEcens
Functions, R codes and Examples using the MLEcens R package
Some associated functions:
Some associated R codes: Full MLEcens package functions and examples
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