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.

Facilitates some of the analyses performed in studies of
    behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice
    Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>), calculating k
    values (Mazur's simple hyperbolic and exponential) using nonlinear regression, calculating
    various Area Under the Curve (AUC) measures, plotting regression curves for both fit-to-group and
    two-stage approaches, checking for unsystematic discounting
    (Johnson & Bickel, 2008; <doi:10.1037/1064-1297.16.3.264>) and scoring of the
    minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the
    Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide;
    <doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.