Automatic estimation of number of principal components in PCA
    with PEnalized SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan, Julie Josse
    "Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood"
    (2017) <doi:10.1080/10618600.2017.1340302>.

Computes the Danish Pesticide Load Indicator as described in Kudsk et al. (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019) <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally offers the possibility to directly link pesticide use data to pesticide properties given access to the Pesticide properties database (Lewis et al., 2016) <doi:10.1080/10807039.2015.1133242>.

Set of tools to automatize extraction of data on pests from 'EPPO
    Data Services' and 'EPPO Global Database' and to put them into tables with
    human readable format. Those function use 'EPPO database API', thus you 
    first need to register on <https://data.eppo.int> (free of charge).
    Additional helpers allow to download, check and connect to
    'SQLite EPPO database'.

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>.