Performs estimation of marginal treatment effects for binary 
  outcomes when using logistic regression working models with covariate 
  adjustment (see discussions in Magirr et al (2024) <https://osf.io/9mp58/>). 
  Implements the variance estimators of Ge et al (2011) <doi:10.1177/009286151104500409> 
  and Ye et al (2023) <doi:10.1080/24754269.2023.2205802>.

Tools to calibrate, validate, and make predictions with the
    General Unified Threshold model of Survival adapted for Bee species. The
    model is presented in the publication from Baas, J., Goussen, B., Miles, M.,
    Preuss, T.G., Roessing, I. (2022) <doi:10.1002/etc.5423> and 
    Baas, J., Goussen, B., Taenzler, V., Roeben, V., Miles, M., Preuss, T.G., 
    van den Berg, S., Roessink, I. (2024) <doi:10.1002/etc.5871>, and is based on the 
    GUTS framework Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011) 
    <doi:10.1021/es103092a>.
    The authors are grateful to Bayer A.G. for its financial support.

The main function of this package is beep(), with the purpose to
    make it easy to play notification sounds on whatever platform you are on.
    It is intended to be useful, for example, if you are running a long analysis
    in the background and want to know when it is ready.

The bee swarm plot is a one-dimensional scatter plot like
    "stripchart", but with closely-packed, non-overlapping points.

Facilitates many of the analyses performed in studies of
    behavioral economic demand. The package supports commonly-used options for
    modeling operant demand including (1) data screening proposed by Stein,
    Koffarnus, Snider, Quisenberry, & Bickel (2015; <doi:10.1037/pha0000020>),
    (2) fitting models of demand such as linear (Hursh, Raslear, Bauman,
    & Black, 1989, <doi:10.1007/978-94-009-2470-3_22>), exponential (Hursh & Silberberg, 2008,
    <doi:10.1037/0033-295X.115.1.186>) and modified exponential (Koffarnus,
    Franck, Stein, & Bickel, 2015, <doi:10.1037/pha0000045>), and (3) calculating
    numerous measures relevant to applied behavioral economists (Intensity,
    Pmax, Omax). Also supports plotting and comparing data.