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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.

Functions (17)

Data from the Aids Clinical Trials Group protocol ACTG 181

Modified data from the Aids Clinical Trials Group protocol ACTG 181

Transform (intersections of) canonical rectangles back to their original coordinates

Compute the MLE for bivariate censored data

Breast cosmesis data

Example data set (artificial)

Menopause data

menopauseMod

Modified menopause data

Create a marginal CDF (or survival function) plot of the MLE

Create a bivariate CDF (or survival function) plot of the MLE

Plot a clique matrix

Create a univariate density plot of the MLE

Create a bivariate density plot of the MLE

Plot a height map

Plot a set of rectangles

Transform a set of rectangles into canonical rectangles

Determine areas of possible mass support of the MLE

MLEcens

Computation of the MLE for bivariate (interval) censored data

v0.1-4

GPL (>= 2)

Authors

Marloes Maathuis <maathuis@stat.math.ethz.ch>

Initial release

2013-04-02

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