Provides several methods for aggregating probabilistic forecasts. You have a group of
    people who have made probabilistic forecasts for the same event. You want to take advantage of
    the "wisdom of the crowd" and combine these forecasts in some sensible way. This package
    provides implementations of several strategies, including geometric mean of odds, an extremized
    aggregate (Neyman, Roughgarden (2021) <doi:10.1145/3490486.3538243>), and "high-density trimmed
    mean" (Powell et al. (2022) <doi:10.1037/dec0000191>).

Computation of A (pedigree), G (genomic-base), and H (A corrected
    by G) relationship matrices for diploid and autopolyploid species. Several methods
    are implemented considering additive and non-additive models.

Adaptive Gauss Hermite Quadrature for Bayesian inference.
    The AGHQ method for normalizing posterior distributions
    and making Bayesian inferences based on them. Functions are provided for doing
    quadrature and marginal Laplace approximations, and summary methods are provided
    for making inferences based on the results. 
    See Stringer (2021). "Implementing Adaptive Quadrature for Bayesian Inference: 
    the aghq Package" <arXiv:2101.04468>.

Provides functions to fit Accurate Generalized Linear Model (AGLM) models, visualize them, and predict for new data. AGLM is defined as a regularized GLM which applies a sort of feature transformations using a discretization of numerical features and specific coding methodologies of dummy variables. For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo and Hirokazu Iwasawa (2020) <https://www.institutdesactuaires.com/global/gene/link.php?doc_id=16273&fg=1>.

Tools supporting multi-criteria and group decision making,
    including variable number of criteria, by means of
    aggregation operators, spread measures,
    fuzzy logic connectives, fusion functions,
    and preordered sets. Possible applications include,
    but are not limited to, quality management, scientometrics,
    software engineering, etc.