Tools associated with General
Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 4x4 and more
general confusion matrices, associated plotting and model comparison tools,
and tests of marginal response invariance and report independence.

Tools associated with General
Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 2x2 and more
general designs, associated plotting and model comparison tools,
and tests of marginal response invariance and report independence.

Complement to 'Modern Data Science with R'
c(
person("Ben", "Baumer", email = "ben.baumer@gmail.com",
role = c("aut", "cre")),
person("Nicholas", "Horton", email = "nhorton@amherst.edu", role = "aut"),
person("Daniel", "Kaplan", email = "kaplan@macalester.edu", role = "aut"))
A complement to *Modern Data
Science with R* (ISBN: 978-1498724487, publisher URL:
<https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487>).
This package contains all of the data and code necessary to
complete exercises and reproduce examples from the text. It also
facilitates connections to the SQL database server used in the book.
knitr, Lahman, etl, macleish, lubridate, sp
Ben Baumer [aut, cre],
Nicholas Horton [aut],
Daniel Kaplan [aut]

babynames, DBI, dbplyr, downloader, dplyr, ggplot2, mosaic,
RMySQL, tidyverse

babynames, DBI, dbplyr, downloader, dplyr, ggplot2, mosaic,
RMySQL
knitr, Lahman, etl, macleish, lubridate, sp, testthat

babynames, DBI, dbplyr, downloader, dplyr, fs, ggplot2,
mosaic, RMySQL

c(
person("Benjamin S.", "Baumer",
email = "ben.baumer@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-3279-0516")
),
person("Nicholas", "Horton",
email = "nhorton@amherst.edu",
role = "aut",
comment = c(ORCID = "0000-0003-3332-4311")
),
person("Daniel", "Kaplan", email = "kaplan@macalester.edu", role = "aut"))
A complement to *Modern Data
Science with R* (ISBN: 978-1498724487, publisher URL:
<https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487>).
This package contains data and code to complete exercises and
reproduce examples from the text. It also facilitates connections
to the SQL database server used in the book. Both version of the book are
supported by this package.
babynames, DBI, dbplyr, downloader, dplyr, fs, ggplot2,
htmlwidgets, RMySQL, skimr, tibble, webshot
knitr, Lahman, leaflet, etl, macleish, mosaic, mosaicData,
lubridate, sf, testthat, utf8
Benjamin S. Baumer [aut, cre] (<https://orcid.org/0000-0002-3279-0516>),
Nicholas Horton [aut] (<https://orcid.org/0000-0003-3332-4311>),
Daniel Kaplan [aut]