Source: r-cran-logcondens
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-ks,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-logcondens
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-logcondens.git
Homepage: https://cran.r-project.org/package=logcondens

Package: r-cran-logcondens
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Estimate a Log-Concave Probability Density from Iid Observations
 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, we provide 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.
