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LogConcDEAD (version 1.5-3)
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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Install
install.packages('LogConcDEAD')
Monthly Downloads
587
Version
1.5-3
License
LGPL
Maintainer
Yining Chen
Last Published
May 24th, 2011
Functions in LogConcDEAD (1.5-3)
Search functions
hatA
Compute the smoothing matrix of the smoothed log-concave maximum likelihood estimator
rlcd
Sample from a log-concave maximum likelihood estimate
getweights
Find appropriate weights for likelihood calculations
plot.LogConcDEAD
Plot a log-concave maximum likelihood estimator
getinfolcd
Construct an object of class LogConcDEAD
rslcd
Sample from a smoothed log-concave maximum likelihood estimate
LogConcDEAD-package
Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions
dmarglcd
Evaluate the marginal of multivariate log-concave maximum likelihood estimators at a point
cov.LogConcDEAD
Compute the covariance matrix of a log-concave maximum likelihood estimator
dslcd
Evaluation of a smoothed log-concave maximum likelihood estimator at given points
interpmarglcd
Finds marginals of multivariate logconcave maximum likelihood estimators by integrating
mlelcd
Compute the maximum likelihood estimator of a log-concave density
LogConcDEAD-internal
Internal log-concave maximum likelihood estimation functions
print.LogConcDEAD
Summarizing log-concave maximum likelihood estimator
dlcd
Evaluation of a log-concave maximum likelihood estimator at a point
interplcd
Evaluate the log-concave maximum likelihood estimator of 2-d data on a grid for plotting
EMmixlcd
Estimate the mixture proportions and component densities using EM algorithm