Log-concave Density Estimation in Arbitrary Dimensions


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Documentation for package ‘LogConcDEAD’ version 1.4-1

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LogConcDEAD-package Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions
dlcd Evaluation of a log-concave maximum likelihood estimator at a point
dmarglcd Evaluate the marginal of multivariate log-concave maximum likelihood estimators at a point
getinfolcd Construct an object of class LogConcDEAD
getweights Find appropriate weights for likelihood calculations
interplcd Evaluate the log-concave maximum likelihood estimator of 2-d data on a grid for plotting
interpmarglcd Finds marginals of multivariate logconcave maximum likelihood estimators by integrating
lcd.eval Evaluation of a log-concave maximum likelihood estimator at a point
lcd.getweights Find appropriate weights for likelihood calculations
lcd.interp Evaluate the log-concave maximum likelihood estimator of 2-d data on a grid for plotting
lcd.marg Finds marginals of multivariate logconcave maximum likelihood estimators by integrating
lcd.marg.eval Evaluate the marginal of multivariate log-concave maximum likelihood estimators at a point
lcd.mle Compute the maximum likelihood estimator of a log-concave density
lcd.sample Sample from a log-concave maximum likelihood estimate
LogConcDEAD Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions
mlelcd Compute the maximum likelihood estimator of a log-concave density
plot.LogConcDEAD Plot a log-concave maximum likelihood estimator
print.LogConcDEAD Summarizing log-concave maximum likelihood estimator
rlcd Sample from a log-concave maximum likelihood estimate
summary.LogConcDEAD Summarizing log-concave maximum likelihood estimator