MLEcens

Computation of the MLE for bivariate (interval) censored data

This package contains 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 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.

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Description file content

Package
MLEcens
Version
0.1-4
Date
2013-04-02
Title
Computation of the MLE for bivariate (interval) censored data
Author
Marloes Maathuis
Maintainer
Marloes Maathuis
Depends
Description
This package contains 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 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.
License
GPL (>= 2)
URL
Packaged
2013-04-02 11:46:53 UTC; mmarloes
NeedsCompilation
yes
Repository
CRAN
Date/Publication
2013-04-02 14:58:32

install.packages('MLEcens')

0.1-4

06 years ago

http://stat.ethz.ch/~maathuis/

Marloes Maathuis

GPL (>= 2)

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