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 details 


Author  Marloes Maathuis <[email protected]> 
Date of publication  20130402 14:58:32 
Maintainer  Marloes Maathuis <[email protected]> 
License  GPL (>= 2) 
Version  0.14 
URL  http://stat.ethz.ch/~maathuis/ 
Package repository  View on CRAN 
Installation 
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