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LogConcDEAD (version 1.2-0)

Maximum likelihood estimation of a log-concave density

Description

Computes the maximum likelihood estimator from an i.i.d. sample of data from a log-concave density in any number of dimensions. Plots are available for 1- and 2-d data.

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Version

Install

install.packages('LogConcDEAD')

Monthly Downloads

247

Version

1.2-0

License

LGPL

Maintainer

Madeleine Cule

Last Published

March 13th, 2025

Functions in LogConcDEAD (1.2-0)

LogConcDEAD-internal

Internal log-concave maximum likelihood estimation functions

lcd.marg

Finds marginals of multivariate logconcave MLEs by integrating

lcd.eval

Evaluate the log-concave MLE at a point

lcd.sample

Sample from the MLE of a log-concave density using rejection sampling

plot.LogConcDEAD

Plot function for log-concave MLE

lcd.interp

Evaluate the log-concave MLE of 2-d data on a grid for plotting

lcd.marg.eval

Evaluates the marginal of multivariate logconcave MLEs at a point by integrating

lcd.mle

Compute the maximum likelihood estimator of a log-concave density

lcd.getweights

Given a matrix of data, find how many times each occurs

LogConcDEAD-package

Maximum likelihood estimation of a log-concave density in arbitrary dimensions