R: Log-Concave Density Estimation in Arbitrary Dimensions

# Log-Concave Density Estimation in Arbitrary Dimensions

## Documentation for package ‘LogConcDEAD’ version 1.6-12

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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
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
dslcd | Evaluation of a smoothed log-concave maximum likelihood estimator at given points
EMmixlcd | Estimate the mixture proportions and component densities using EM algorithm
getinfolcd | Construct an object of class LogConcDEAD
getweights | Find appropriate weights for likelihood calculations
hatA | Compute the smoothing matrix of the smoothed log-concave maximum likelihood estimator
interactive2D | A GUI for classification in two dimensions using smoothed log-concave
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
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
rslcd | Sample from a smoothed log-concave maximum likelihood estimate
summary.LogConcDEAD | Summarizing log-concave maximum likelihood estimator