| 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 |