Implements the board game 'CamelUp' for use in introductory statistics classes using a Shiny app.

Quick and easy access to datasets that let you replicate the
    empirical examples in Cameron and Trivedi (2005) "Microeconometrics: Methods and
    Applications" (ISBN: 9780521848053).The data are available as soon as you install
    and load the package (lazy-loading) as data frames. The documentation includes
    reference to chapter sections and page numbers where the datasets are used.

Collect  marketing data from Campaign Manager using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Explore and normalize American campaign finance
    data. Created by the Investigative Reporting Workshop to facilitate
    work on The Accountability Project, an effort to collect public data
    into a central, standard database that is more easily searched:
    <https://publicaccountability.org/>.

A generic, easy-to-use and intuitive
    pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on
    the R packages 'rxode2' and 'mrgsolve'. Campsis provides an
    abstraction layer over the underlying processes of defining a PK/PD
    model, assembling a custom dataset and running a simulation. The
    package has a strong dependency on the R package 'campsismod', which
    allows models to be read from and written to files, including through
    a JSON-based interface, and to be adapted further on the fly in the R
    environment. In addition, 'campsis' allows users to assemble datasets
    in an intuitive manner, including via a JSON-based interface to import
    Campsis datasets defined using formal JSON schemas distributed with
    the package. Once the dataset is ready, the package prepares the
    simulation, calls 'rxode2' or 'mrgsolve' (at the user's choice), and
    returns the results for the given model, dataset and desired
    simulation settings. The package itself is licensed under the GPL (>=
    3); the JSON schema files shipped in inst/extdata are licensed
    separately under the Creative Commons Attribution 4.0 International
    (CC BY 4.0).