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>) 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.

Implements an S3 class based on 'data.table' to store and process efficiently ethomics (high-throughput behavioural) data.

Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>.