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LogConcDEAD (version 1.3-2)

Log-concave Density Estimation in Arbitrary Dimensions

Description

Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions.

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Version

Install

install.packages('LogConcDEAD')

Monthly Downloads

247

Version

1.3-2

License

LGPL

Maintainer

Madeleine Cule

Last Published

March 13th, 2025

Functions in LogConcDEAD (1.3-2)

getweights

Find appropriate weights for likelihood calculations
dmarglcd

Evaluate the marginal of multivariate log-concave maximum likelihood estimators at a point
mlelcd

Compute the maximum likelihood estimator of a log-concave density
LogConcDEAD-package

Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions
print.LogConcDEAD

Summarizing log-concave maximum likelihood estimator
plot.LogConcDEAD

Plot a log-concave maximum likelihood estimator
dlcd

Evaluation of a log-concave maximum likelihood estimator at a point
interpmarglcd

Finds marginals of multivariate logconcave maximum likelihood estimators by integrating
rlcd

Sample from a log-concave maximum likelihood estimate
interplcd

Evaluate the log-concave maximum likelihood estimator of 2-d data on a grid for plotting
LogConcDEAD-internal

Internal log-concave maximum likelihood estimation functions