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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 |