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.

This is a sub national population projection model for calculating
    population development. The model uses a cohort component method.
    Further reading: Stanley K. Smith: A Practitioner's Guide to State and 
    Local Population Projections. 2013.  <doi:10.1007/978-94-007-7551-0>.

Contains specialised analyses and
    visualisation tools for behavior change science.
    These facilitate conducting determinant studies
    (for example, using confidence interval-based
    estimation of relevance, CIBER, or CIBERlite
    plots, see Crutzen, Noijen & Peters (2017)
    <doi:10/ghtfz9>),
    systematically developing, reporting,
    and analysing interventions (for example, using
    Acyclic Behavior Change Diagrams), and reporting
    about intervention effectiveness (for example, using
    the Numbers Needed for Change, see Gruijters & Peters
    (2017) <doi:10/jzkt>), and computing the
    required sample size (using the Meaningful Change
    Definition, see Gruijters & Peters (2020)
    <doi:10/ghpnx8>).
    This package is especially useful for
    researchers in the field of behavior change or
    health psychology and to behavior change
    professionals such as intervention developers and
    prevention workers.