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logconcens (version 0.17-0)

Maximum Likelihood Estimation of a log-Concave Density Based on Censored Data

Description

Based on right or interval censored data, compute the maximum likelihood estimator of a (sub)probability density under the assumption that it is log-concave. For further information see Duembgen, Rufibach and Schuhmacher (2014) .

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Install

install.packages('logconcens')

Monthly Downloads

236

Version

0.17-0

License

GPL (>= 2)

Maintainer

Dominic Schuhmacher

Last Published

November 27th, 2019

Functions in logconcens (0.17-0)

lcdensity-methods

Methods for objects of class lcdensity.
loglike

Compute log-likelihood for an object of class lcdensity.
logconcens-internal

Internal logconcens functions
cure.profile

Evaluate the profile log-likelihood on a grid of \(p_0\)-values.
plotint

Plot censored data.
lc.control

Set the control parameters for logcon.
logconcens-package

Maximum likelihood estimation of a log-concave density based on censored data.
logcon

Compute log-concave MLE based on censored or exact data.