Provide a Dens-based method for estimating functional connection in large scale brain networks using partial correlation.

Density ratio estimation.
    The estimated density ratio function can be used in many applications such as
    anomaly detection, change-point detection, covariate shift adaptation.
    The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>),
    RuLSIF (Yamada et al. (2011) <doi:10.1162/NECO_a_00442>),
    and KLIEP (Sugiyama et al. (2007) <doi:10.1007/s10463-008-0197-x>).

Methods for testing the equality between groups of estimated
    density functions. The package implements FDET (Fourier-based Density Equality
    Testing) and MDET (Moment-based Density Equality Testing), two new approaches
    introduced by the author. Both methods extend an earlier testing approach
    by Delicado (2007), "Functional k-sample problem when data are density functions"
    <doi:10.1007/s00180-007-0047-y>, which is referred to as DET (Density Equality
    Testing) in this package for clarity. FDET compares groups of densities
    based on their global shape using Fourier transforms, while MDET tests for
    differences in distributional moments. All methods are described in Anarat,
    Krutmann and Schwender (2025), "Testing for Differences in Extrinsic Skin Aging
    Based on Density Functions" (Submitted).

Graphical methods for compactly illustrating probability distributions, including density strips, density regions, sectioned density plots and varying width strips, using base R graphics.   Note that the 'ggdist' package offers a similar set of tools for illustrating distributions, based on 'ggplot2'.

Provides the mathematical model described by "Serostatus Testing & Dengue Vaccine Cost-Benefit Thresholds"
    in <doi:10.1098/rsif.2019.0234>.  Using the functions in the package,
    that analysis can be repeated using sample life histories, either synthesized from local seroprevalence data
    using other functions in this package (as in the manuscript) or from some other source.
    The package provides a vignette which walks through the analysis in the publication, as well as a function
    to generate a project skeleton for such an analysis.