logConCIfunctions

ftilde

c2hat

Functions that are used by <code><a href="/link/logConCI?package=logcondens&version=2.0.9" rd-options="" data-mini-rdoc="logcondens::logConCI">logConCI</a></code> and are not intended to be called by the user.

htest

nonparametric

Given independent and identically distributed observations
        X(1), ..., X(n), this package allows to 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.

logConCIfunctions: Functions that are used by logConCI

Description

Arguments

References