A toolbox to facilitate the calculation of political system indicators for researchers. 
    This package offers a variety of basic indicators related to electoral systems, party systems, elections,
    and parliamentary studies, as well as others. Main references are:
    Loosemore and Hanby (1971) <doi:10.1017/S000712340000925X>;
    Gallagher (1991) <doi:10.1016/0261-3794(91)90004-C>;
    Laakso and Taagepera (1979) <doi:10.1177/001041407901200101>;
    Rae (1968) <doi:10.1177/001041406800100305>;
    Hirschmaņ (1945) <ISBN:0-520-04082-1>;
    Kesselman (1966) <doi:10.2307/1953769>;
    Jones and Mainwaring (2003) <doi:10.1177/13540688030092002>;
    Rice (1925) <doi:10.2307/2142407>;
    Pedersen (1979) <doi:10.1111/j.1475-6765.1979.tb01267.x>;
    SANTOS (2002) <ISBN:85-225-0395-8>.

Framework for evaluating user-specified finite stage policies and learning realistic policies via doubly robust loss functions. Policy learning methods include doubly robust Q-learning, sequential policy tree learning, and outcome weighted learning. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.

Supports analysis of aerobiological data. 
    Available features include determination of pollen season limits, 
    replacement of outliers (Kasprzyk and Walanus (2014) <doi:10.1007/s10453-014-9332-8>),
    calculation of growing degree days (Baskerville and Emin (1969) <doi:10.2307/1933912>), 
    and determination of the base temperature for growing degree days
    (Yang et al. (1995) <doi:10.1016/0168-1923(94)02185-M).

Tools to estimate pollinator body size and co-varying traits. This package contains novel Bayesian predictive models of pollinator body size (for bees and hoverflies) as well as preexisting predictive models for pollinator body size (currently implemented for ants, bees, butterflies, flies, moths and wasps) as well as bee tongue length and foraging distance, total field nectar loads and wing loading. An additional GitHub repository <https://github.com/liamkendall/pollimetrydata> provides model objects to use the bodysize function internally. All models are described in Kendall et al (2018) <doi:10.1101/397604>.