A comprehensive implementation of Petersen-type estimators
    and its many variants for two-sample capture-recapture studies.
    A conditional likelihood approach is used that allows
    for tag loss; non reporting of tags; reward tags; categorical, geographical and temporal stratification;
    partial stratification; reverse capture-recapture;
    and continuous variables in modeling the probability of capture.
    Many examples from fisheries management are presented.

A collection of R functions that are widely used by the Petersen
    Lab. Included are functions for various purposes, including evaluating the
    accuracy of judgments and predictions, performing scoring of assessments,
    generating correlation matrices, conversion of data between various types,
    data management, psychometric evaluation, extensions related to latent
    variable modeling, various plotting capabilities, and other miscellaneous
    useful functions. By making the package available, we hope to make our
    methods reproducible and replicable by others and to help others perform
    their data processing and analysis methods more easily and efficiently. The
    codebase is in <doi:10.5281/zenodo.7602890>. The package is described in
    Petersen (2024) <doi:10.1201/9781003357421>, <doi:10.5281/zenodo.6466590>.

Two-sample power-enhanced mean tests, covariance tests, and simultaneous tests on mean vectors and covariance matrices for high-dimensional data. Methods of these PE tests are presented in 
    Yu, Li, and Xue (2022) <doi:10.1080/01621459.2022.2126781>; 
    Yu, Li, Xue, and Li (2022) <doi:10.1080/01621459.2022.2061354>.

Wrapper of the 'Petfinder API' <https://www.petfinder.com/developers/v2/docs/> that implements 
  methods for interacting with and extracting data from the 'Petfinder' database. The 'Petfinder 
  REST API' allows access to the 'Petfinder' database, one of the largest online databases of 
  adoptable animals and animal welfare organizations across North America.