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 |
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 |