Computation of the MLE for bivariate interval censored data

author: Marloes Maathuis, ETH Zurich
published: Dec. 10, 2007,   recorded: September 2007,   views: 1209
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Description

I will discuss the new R-package 'MLEcens', which computes the nonparametric maximum likelihood estimator (MLE) for the distribution function of bivariate interval censored data. The computation of the MLE consists of two steps: a parameter reduction step and an optimization step. I will discuss algorithms for both steps. I will also illustrate the R-package using several examples.

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Comment1 Tian, September 22, 2008 at 7:01 a.m.:

Thanks so much for sharing. It's very helpful ~

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