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LogConcDEAD (version 1.6-9)

Log-Concave Density Estimation in Arbitrary Dimensions

Description

Software for computing a log-concave (maximum likelihood) estimator for independent and identically distributed data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, ).

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Version

Install

install.packages('LogConcDEAD')

Monthly Downloads

247

Version

1.6-9

License

GPL (>= 2)

Maintainer

Yining Chen

Last Published

January 9th, 2024

Functions in LogConcDEAD (1.6-9)

interpmarglcd

Finds marginals of multivariate logconcave maximum likelihood estimators by integrating
rlcd

Sample from a log-concave maximum likelihood estimate
plot.LogConcDEAD

Plot a log-concave maximum likelihood estimator
rslcd

Sample from a smoothed log-concave maximum likelihood estimate
interplcd

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

Summarizing log-concave maximum likelihood estimator
interactive2D

A GUI for classification in two dimensions using smoothed log-concave
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
cov.LogConcDEAD

Compute the covariance matrix of a log-concave maximum likelihood estimator
EMmixlcd

Estimate the mixture proportions and component densities using EM algorithm
hatA

Compute the smoothing matrix of the smoothed log-concave maximum likelihood estimator
getinfolcd

Construct an object of class LogConcDEAD
dmarglcd

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

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

Find appropriate weights for likelihood calculations
LogConcDEAD-internal

Internal log-concave maximum likelihood estimation functions
dslcd

Evaluation of a smoothed log-concave maximum likelihood estimator at given points