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Computation of the MLE for bivariate (interval) censored data
Marloes Maathuis <>
GPL (>= 2)
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.
Package Version Released
MLEcens 0.1-4 2 years 34 weeks ago
MLEcens 0.1-3 5 years 32 weeks ago
MLEcens 0.1-2
needs accessibility After reading through the latest version of the documentation, dated 30/3/09, I checked for citations of the author in the web of science. I found since the paper on which this...
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