covr, fortunes, miniUI, mockr, rprojroot, sessioninfo, shiny,
spelling, styler (>= 1.2.0), testthat (>= 3.0.2)

c(
person("Jennifer", "Bryan", , "jenny@rstudio.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-6983-2759")),
person("Jim", "Hester", , "james.hester@rstudio.com", role = "aut",
comment = c(ORCID = "0000-0002-2739-7082")),
person("David", "Robinson", , "admiral.david@gmail.com", role = "aut"),
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut",
comment = c(ORCID = "0000-0003-4757-117X")),
person("Christophe", "Dervieux", , "cderv@rstudio.com", role = "aut",
comment = c(ORCID = "0000-0003-4474-2498")),
person("RStudio", role = c("cph", "fnd"))
)
Convenience wrapper that uses the 'rmarkdown' package to
render small snippets of code to target formats that include both code
and output.  The goal is to encourage the sharing of small,
reproducible, and runnable examples on code-oriented websites, such as
<https://stackoverflow.com> and <https://github.com>, or in email. The
user's clipboard is the default source of input code and the default
target for rendered output. 'reprex' also extracts clean, runnable R
code from various common formats, such as copy/paste from an R
session.
callr (>= 3.6.0), cli (>= 3.2.0), clipr (>= 0.4.0), fs, glue,
knitr (>= 1.23), lifecycle, rlang (>= 1.0.0), rmarkdown,
rstudioapi, utils, withr (>= 2.3.0)
Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>),
Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>),
David Robinson [aut],
Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>),
Christophe Dervieux [aut] (<https://orcid.org/0000-0003-4474-2498>),
RStudio [cph, fnd]

Reproduce Statistical Analyses and Meta-Analyses
c(
person("Lech", "Madeyski", email = "lech.madeyski@gmail.com", role = c("cre", "aut")),
person("Marian", "Jureczko", email = "marian.jureczko@gmail.com", role = "ctb", comment = "Data contributor"))
The reproducer R package includes data analysis functions and data sets (e.g., related to software defect prediction) to streamline reproducible research in software engineering.
Lech Madeyski [cre, aut],
Marian Jureczko [ctb] (Data contributor)