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LogConcDEAD (version 1.5-5)

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

465

Version

1.5-5

License

LGPL

Maintainer

Yining Chen

Last Published

June 12th, 2012

Functions in LogConcDEAD (1.5-5)

getinfolcd

Construct an object of class LogConcDEAD

interpmarglcd

Finds marginals of multivariate logconcave maximum likelihood estimators by integrating

dmarglcd

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

hatA

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

getweights

Find appropriate weights for likelihood calculations

print.LogConcDEAD

Summarizing log-concave maximum likelihood estimator

EMmixlcd

Estimate the mixture proportions and component densities using EM algorithm

dlcd

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

cov.LogConcDEAD

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

LogConcDEAD-package

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

rlcd

Sample from a log-concave maximum likelihood estimate

plot.LogConcDEAD

Plot a log-concave maximum likelihood estimator

interplcd

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

interactive2D

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

LogConcDEAD-internal

Internal log-concave maximum likelihood estimation functions

dslcd

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

mlelcd

Compute the maximum likelihood estimator of a log-concave density

rslcd

Sample from a smoothed log-concave maximum likelihood estimate