covr, knitr, mockery, rmarkdown, rprojroot, spelling,
testthat (>= 2.3.2), withr

c(
person("Gábor", "Csárdi", , "csardi.gabor@gmail.com", role = c("cre", "ctb")),
person("Jennifer", "Bryan", role = "aut"),
person("Hadley", "Wickham", role = "aut"),
person("RStudio", role = c("cph", "fnd"))
)
cli (>= 3.0.1), gitcreds, httr (>= 1.2), ini, jsonlite
covr, knitr, mockery, rmarkdown, rprojroot, spelling,
testthat (>= 3.0.0), withr

person("Jeroen", "Ooms", role = c("aut", "cre"),
email = "jeroen@berkeley.edu",
comment = c(ORCID = "0000-0002-4035-0289"))
'GitHub' apps provide a powerful way to manage fine grained
programmatic access to specific 'git' repositories, without having to
create dummy users, and which are safer than a personal access token
for automated tasks. This package extends the 'gh' package to let you
authenticate and interact with 'GitHub' <https://docs.github.com/en/rest/overview>
in 'R' as an app.

c(person(given = "Colin",
family = "Rundel",
role = c("aut", "cre"),
email = "rundel@gmail.com"),
person(given = "Mine",
family = "Cetinkaya-Rundel",
role = "aut",
email = "mine@rstudio.com"),
person(given = "Therese",
family = "Anders",
role = "ctb",
email = "tanders@usc.edu"))
Interface for the GitHub API that enables efficient
management of courses on GitHub. It has a functionality for
managing organizations, teams, repositories, and users on GitHub
and helps automate most of the tedious and repetitive tasks
around creating and distributing assignments.
base64enc, fs, gh, glue, httr, lubridate, purrr, rlang,
tibble, whisker, withr, dplyr, cli (>= 3.0.0)
here, knitr, rmarkdown, sodium, styler, usethis, gert, readr,
gitcreds
Colin Rundel [aut, cre],
Mine Cetinkaya-Rundel [aut],
Therese Anders [ctb]

Functional Conditional Independence Testing with the GHCM
c(person("Anton Rask", "Lundborg", email = "a.lundborg@statslab.cam.ac.uk",
role = c("aut", "cre")),
person("Rajen D.", "Shah", role = c("aut")),
person("Jonas", "Peters", role = c("aut")))
A statistical hypothesis test for conditional independence.
Given residuals from a sufficiently powerful regression, it tests whether
the covariance of the residuals is vanishing. It can be applied to both
discretely-observed functional data and multivariate data.
Details of the method can be found in Anton Rask Lundborg, Rajen D. Shah and Jonas
Peters (2020) <arXiv:2101.07108>.
testthat, knitr, rmarkdown, bookdown,
GeneralisedCovarianceMeasure, ggplot2, reshape2
Anton Rask Lundborg [aut, cre],
Rajen D. Shah [aut],
Jonas Peters [aut]