Tests the goodness of fit of a distribution of offspring to the Normal, Poisson, and Gamma distribution and estimates the proportional paternity of the second male (P2) based on the best fit distribution.

Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.
  Pudlo P., Marin J.-M., Estoup A., Cornuet J.-M., Gautier M. and Robert C. P. (2016) <doi:10.1093/bioinformatics/btv684>.
  Estoup A., Raynal L., Verdu P. and Marin J.-M. <http://journal-sfds.fr/article/view/709>.
  Raynal L., Marin J.-M., Pudlo P., Ribatet M., Robert C. P. and Estoup A. (2019) <doi:10.1093/bioinformatics/bty867>.

Offers methods to perform asymptotically bias-corrected regularized linear discriminant analysis (ABC_RLDA) for cost-sensitive binary classification. The bias-correction is an estimate of the bias term added to regularized discriminant analysis (RLDA) that minimizes the overall risk. The default magnitude of misclassification costs are equal and set to 0.5; however, the package also offers the options to set them to some predetermined values or, alternatively, take them as hyperparameters to tune.
    A. Zollanvari, M. Abdirash, A. Dadlani and B. Abibullaev (2019) <doi:10.1109/LSP.2019.2918485>.

Tools for approximate Bayesian computation including summary statistic selection and assessing coverage.
    See Nunes and Prangle (2015) <doi:10.32614/RJ-2015-030> and Rodrigues, Prangle and Sisson (2018) <doi:10.1016/j.csda.2018.04.004>.

The abd package contains data sets and sample code for The
    Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009;
    Roberts & Company Publishers).

A collection of measures for measuring ecological diversity.
  Ecological diversity comes in two flavors: alpha diversity measures the
  diversity within a single site or sample, and beta diversity measures the
  diversity across two sites or samples. This package overlaps considerably
  with other R packages such as 'vegan', 'gUniFrac', 'betapart', and 'fossil'.
  We also include a wide range of functions that are implemented in software
  outside the R ecosystem, such as 'scipy', 'Mothur', and 'scikit-bio'.  The
  implementations here are designed to be basic and clear to the reader.