A curated list of copepod-fish ecological interaction records.
    It contains the taxonomy of the copepod and the fish and the publication
    from which the information was obtained. This database contains only marine
    and brackish water fish species. It excludes fish species that inhabit only
    freshwater.

Provides tools for factor analysis in high-dimensional settings under
    copula-based factor models. It includes functions to simulate factor-model data
    with copula-distributed idiosyncratic errors (e.g., Clayton, Gumbel, Frank,
    Student t and Gaussian copulas) and to perform diagnostic tests such as the
    Kaiser-Meyer-Olkin measure and Bartlett's test of sphericity. Estimation routines
    include principal component based factor analysis, projected principal component
    analysis, and principal orthogonal complement thresholding for large covariance
    matrix estimation. The philosophy of the package is described in Guo G. (2023)
    <doi:10.1007/s00180-022-01270-z>.

Evaluation for density and distribution function of convolution of gamma
    distributions in R. Two related exact methods and one approximate method are
    implemented with efficient algorithm and C++ code. A quick guide for choosing
    correct method and usage of this package is given in package vignette. For the
    detail of methods used in this package, we refer the user to
    Mathai(1982)<doi:10.1007/BF02481056>,
    Moschopoulos(1984)<doi:10.1007/BF02481123>,
    Barnabani(2017)<doi:10.1080/03610918.2014.963612>,
    Hu et al.(2020)<doi:10.1007/s00180-019-00924-9>.

Psychometrically analyze latent individual differences related to tasks, interventions, or maturational/aging effects in the context of experimental or longitudinal cognitive research using methods first described by Thomas et al. (2020) <doi:10.1177/0013164420919898>.

Reconstruct networks from multi-omics data sets with the
    collaborative graphical lasso (coglasso) algorithm described in Albanese, A.,
    Kohlen, W., and Behrouzi, P. (2026) <doi:10.1093/bioinformatics/btag477>. Use the main wrapper
    function `bs()` to build and select a multi-omics network.