knitr, dplyr (>= 1.0.0), rmarkdown, tmap, pct, foreign

An R-Shiny Application for Creating Visual Abstracts
An R-Shiny application to create visual abstracts for original research. A variety of user defined options and formatting are included.
shiny (>= 1.2.0), ggplot2 (>= 3.0.0), gridExtra (>= 2.3.0),
colourpicker, shinythemes, emojifont, rintrojs

c(person(given="Quentin F.", family="Gronau", role=c("aut", "cre"),
email="Quentin.F.Gronau@gmail.com"),
person(given="Akash", family="Raj", role="ctb"),
person(given="Eric-Jan", family="Wagenmakers", role="ths"))
Provides functions for Bayesian A/B testing including prior elicitation
options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>.
Rcpp (>= 0.12.14), mvtnorm, sn, VGAM, truncnorm, plotrix,
grDevices, RColorBrewer, Matrix
Quentin F. Gronau [aut, cre],
Akash Raj [ctb],
Eric-Jan Wagenmakers [ths]

Rcpp (>= 0.12.14), mvtnorm, sn, VGAM, truncnorm, plotrix,
grDevices, RColorBrewer, Matrix, parallel

Rcpp (>= 0.12.14), mvtnorm, sn, qgam, truncnorm, plotrix,
grDevices, RColorBrewer, Matrix, parallel

Provides functions for Bayesian A/B testing including prior elicitation
options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>.
Gronau, Raj K. N., & Wagenmakers (2021) <doi:10.18637/jss.v100.i17>.

Abundant regression and high-dimensional principal fitted
components
Fit and predict with the high-dimensional principal fitted
components model.

High-Dimensional Principal Fitted Components and Abundant
Regression
Fit and predict with the high-dimensional principal fitted
components model.  This model is described by Cook, Forzani, and Rothman (2012)
<doi:10.1214/11-AOS962>.

Access the Twitter Academic Research Product Track V2 API
Endpoint
c(person(given = "Christopher",
family = "Barrie",
role = c("aut", "cre"),
email = "christopher.barrie@ed.ac.uk",
comment = c(ORCID = "0000-0002-9156-990X")),
person(given = "Justin Chun-ting",
family = "Ho",
role = c("aut"),
email = "justin.chunting.ho@sciencespo.fr",
comment = c(ORCID = "0000-0002-7884-1059")))
Package to query the Twitter Academic Research Product Track (<https://developer.twitter.com/en/solutions/academic-research>),
providing access to full-archive search and other v2 API endpoints. Functions
are written with academic research in mind. They provide flexibility in how
the user wishes to store collected data, and encourage regular storage of data
to mitigate loss when collecting large volumes of tweets. They also provide
workarounds to manage and reshape the format in which data is provided on
the client side.
Christopher Barrie [aut, cre] (<https://orcid.org/0000-0002-9156-990X>),
Justin Chun-ting Ho [aut] (<https://orcid.org/0000-0002-7884-1059>)