c( person("Paul", "Fitzpatrick", email="paul@robotrebuilt.com", role=c("aut"),
comment="JavaScript original, http://paulfitz.github.io/daff/"),
person("Edwin", "de Jonge", email="edwindjonge@gmail.com", role=c("aut","cre"),
comment=c("R wrapper", ORCID="0000-0002-6580-4718")),
person( c("Gregory", "R."), "Warnes", email="gwarnes@mdsol.com", role=c("aut"))
)
Paul Fitzpatrick [aut] (JavaScript original,
http://paulfitz.github.io/daff/),
Edwin de Jonge [aut, cre] (R wrapper,
<https://orcid.org/0000-0002-6580-4718>),
Gregory R. Warnes [aut]

Data and miscellanea to support the book "Introduction to
Data analysis with R for Forensic Scientists", Curran, J.M.
2010 CRC Press ISBN: 978-1-4200-8826-7

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).

Functions to draw, manipulate and evaluate directed
acyclic graphs.

Functions to draw, manipulate, evaluate directed
acyclic graphs and simulate corresponding data.

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

Learning directed acyclic graphs (DAGs) through bootstrap
aggregating
dagbag is a set of methods that learn DAGs via bootstrap aggregating.

Spatial Vector Data for Danmarks Administrative Geografiske
Inddeling DAGI
c(
person("Lars", "Boerty", email = "lars.borty@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3715-8528")),
person("Haematology Research Unit - Aalborg", role = "cph"))
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/>.
Lars Boerty [aut, cre] (<https://orcid.org/0000-0002-3715-8528>),
Haematology Research Unit - Aalborg [cph]

Graphical Analysis of Structural Causal Models
A port of the web-based software 'DAGitty', available at
<http://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.
V8, jsonlite, boot, MASS, methods, grDevices, stats, utils,
graphics
knitr, base64enc (>= 0.1-3), lavaan, testthat