Title: Estimate a Log-Concave Probability Density from Iid Observations

Title: Compute MLE of Log-Concave Density on R with Fixed Mode, and
Description: Computes maximum likelihood estimate of a log-concave density  with fixed and known location of the mode. Performs inference about the mode via a likelihood ratio test. Extension of the logcondens package.

Title: Estimate a Log-Concave Probability Mass function from Discrete
Author: Kaspar Rufibach <kaspar.rufibach@ifspm.uzh.ch> and Fadoua
Balabdaoui <fadoua@ceremade.dauphine.fr> and Hanna Jankowski
likelihood estimator (MLE) of probability mass function (pmf)
under the assumption that it is log-concave, see Weyermann
(2007) and Balabdaoui, Jankowski, and Rufibach (2011). The main
functions of the package are 'logConDiscrMLE' that allows
computation of the log-concave MLE, 'logConDiscrCI' that
computes pointwise confidence bands for the MLE, and
'kInflatedLogConDiscr' that computes a mixture of a log-concave

Author: Kaspar Rufibach <kaspar.rufibach@gmail.com> and Fadoua Balabdaoui <fadoua@ceremade.dauphine.fr> and Hanna Jankowski <hkj@mathstat.yorku.ca> and Kathrin Weyermann <kathrin.weyermann@bkw-fmb.ch>
Description: Given independent and identically distributed observations X(1), ..., X(n), this package allows to compute the maximum likelihood estimator (MLE) of probability mass function (pmf) under the assumption that it is log-concave, see Weyermann (2007) and Balabdaoui, Jankowski, and Rufibach (2011). The main functions of the package are 'logConDiscrMLE' that allows computation of the log-concave MLE, 'logConDiscrCI' that computes pointwise confidence bands for the MLE, and 'kInflatedLogConDiscr' that computes a mixture of a log-concave PMF and a point mass at k.

Author: Kaspar Rufibach <kaspar.rufibach@gmail.com> and Fadoua
(2007) and Balabdaoui, Jankowski, Rufibach, and Pavlides
(2012). The main functions of the package are 'logConDiscrMLE'
that allows computation of the log-concave MLE, 'logConDiscrCI'
that computes pointwise confidence bands for the MLE, and