r-cran-logcondens 2.1.7-1 (armhf binary) in ubuntu noble

 Given independent and identically distributed observations X(1), ...,
 X(n), compute the maximum likelihood estimator (MLE) of a density as
 well as a smoothed version of it under the assumption that the density
 is log-concave, see Rufibach (2007) and Duembgen and Rufibach (2009).
 The main function of the package is 'logConDens' that allows computation
 of the log-concave MLE and its smoothed version. In addition, the package
 provides functions to compute (1) the value of the density and distribution
 function estimates (MLE and smoothed) at a given point (2) the
 characterizing functions of the estimator, (3) to sample from the
 estimated distribution, (5) to compute a two-sample permutation test
 based on log-concave densities, (6) the ROC curve based on log-concave
 estimates within cases and controls, including confidence intervals for
 given values of false positive fractions (7) computation of a confidence
 interval for the value of the true density at a fixed point. Finally,
 three datasets that have been used to illustrate log-concave density
 estimation are made available.