Source: r-cran-logcondens
Standards-Version: 4.7.3
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
Rules-Requires-Root: no

Package: r-cran-logcondens
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: GNU R 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, 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.