Creates project specific directory and file templates that are
written to a .Rprofile file. Upon starting a new R session, these templates
can be used to streamline the creation of new directories that are
standardized to the user's preferences and can include the initiation of a
git repository, an RStudio R project, and project-local dependency management
with the 'renv' package.
R6, glue, rstudioapi, crayon, fs, stringr, utils, git2r, cli,
renv

A wrapper for the CanIStream.It API for searching across the most
popular streaming, rental, and purchase services to find where a movie is
available.

A wrapper for the 'CanIStream.It' API for searching across the
most popular streaming, rental, and purchase services to find where a
movie is available. See <http://www.canistream.it/> for more information.

Bootstrap Confidence Regions for Correspondence Analysis.
Performs correspondence analysis on a two-way contingency
table and produces bootstrap-based elliptical confidence
regions around the projected coordinates for the category
points. Includes routines to plot the results in a variety of
styles. Also reports the standard numerical output for
correspondence analysis.

Bootstrap Confidence Regions for Simple and Multiple
Correspondence Analysis
Performs simple correspondence analysis on a two-way contingency table,
or multiple correspondence analysis (homogeneity analysis)
on data with p categorical variables,
and produces bootstrap-based elliptical confidence regions around the
projected coordinates for the category points.
Includes routines to plot the results in a variety of styles.
Also reports the standard numerical output for correspondence analysis.

Computes classification accuracy and consistency under Item
Response Theory
Computes classification accuracy and consistency under
Item Response Theory by the approach proposed by Lee, Hanson &
Brennen (2002) and Lee (2010) or the approach proposed by
Rudner (2001, 2005). [Currently, only works for 3PL IRT models
(or 2PL or 1PL) (future updates should include polytomous
models), and only independent cut scores (imputing multiple cut
scores will apply them independently but not simultaneously).]