Title: Makes a Local Population Projection
Description: 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

Description: Useful functions for R beginners, including hints for the arguments of the 'plot()' function, self-defined functions for error bars, user-customized pair plots and hist plots, enhanced linear regression figures, etc.. This package could be helpful to R experts as well.

Imports: cranlogs (>= 2.1.0), jsonlite (>= 1.5.0)

Title: Tools for Behavior Change Researchers and Professionals
Description: 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) and systematically developing, reporting,
and analysing interventions (for example, using
acyclic behavior change diagrams). This package
is especially useful for researchers in the field of
behavior change or health psychology and to
behavior change professionals such as intervention
Imports: data.tree (>= 0.7.5), DiagrammeR (>= 1.0.0), ggplot2 (>=
userfriendlyscience (>= 0.7.1), viridis (>= 0.5.1)
Author: Gjalt-Jorn Peters [aut, cre, ctb]

acyclic behavior change diagrams or ABCDs), and
reporting about intervention effectiveness (for
example, using the Numbers Needed for Change). 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.
Imports: BiasedUrn (>= 1.07), data.tree (>= 0.7.5), DiagrammeR (>=
3.0.0), ufs (>= 0.1.0), userfriendlyscience (>= 0.7.1), viridis

Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>),

acyclic behavior change diagrams), and reporting
about intervention effectiveness (for example, using
the Numbers Needed for Change), and computing the
required sample size (using the Meaningful Change
Definition). 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