Contains Data frames and functions used in the book "Design and Analysis of Experiments with R", Lawson(2015) ISBN-13:978-1-4398-6813-3.

Diff, patch and merge for data frames. Document changes in data
    sets and use them to apply patches. Changes to data can be made visible by using
    render_diff(). The 'V8' package is used to wrap the 'daff.js' 'JavaScript' library
    which is included in the package.

Allows to download, clean and analyse raw Vessel Monitoring System, VMS, data from
    Mexican government. You can use the vms_download() function to
    download raw data, or you can use the sample_dataset provided within
    the package. You can follow the tutorial in the vignette available at
    <https://cbmc-gcmp.github.io/dafishr/index.html>.

Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientists." This book was written by James Curran and published by CRC Press in 2010 (ISBN: 978-1-4200-8826-7).

Compressed spatial vector data originally from <https://dawadocs.dataforsyningen.dk/> saved as Simple 
    Features, SF, objects with data on population, age and gender from Statistics Denmark <https://www.dst.dk/da/>.

A port of the web-based software 'DAGitty', available at 
    <https://dagitty.net>, for analyzing structural causal models 
    (also known as directed acyclic graphs or DAGs).
    This package computes covariate adjustment sets for estimating causal
    effects, enumerates instrumental variables, derives testable
    implications (d-separation and vanishing tetrads), generates equivalent
    models, and includes a simple facility for data simulation.

Draw, manipulate, and evaluate directed
        acyclic graphs and simulate corresponding data, as described in International Journal of Epidemiology 50(6):1772-1777.

DAGs With Omitted Objects Displayed (DAGWOOD) is a framework to help reveal key hidden assumptions in a causal DAG. This package provides an implementation of the DAGWOOD algorithm. Further description can be found in Haber et al (2022) <DOI:10.1016/j.annepidem.2022.01.001>.