methods, stats, Rcpp (>= 0.10.1), pkgmaker (>= 0.12)

JJ Allaire; Romain Francois; Intel, Inc.; Marcus Geelnard
High level functions for doing parallel programming with Rcpp.
For example, the parallelFor function can be used to convert the work of
a standard serial "for" loop into a parallel one and the parallelReduce
function can be used for accumulating aggregate or other values.

c(
person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
person("Romain", "Francois", role = c("aut", "cph")),
person("Gregory", "Vandenbrouck", role = "aut"),
person("Marcus", "Geelnard", role = c("aut", "cph"),
comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/"),
person(family = "RStudio", role = "cph"),
person(family = "Intel", role = c("aut", "cph"),
comment = "Intel TBB library, https://www.threadingbuildingblocks.org/"),
person(family = "Microsoft", role = "cph")
)
High level functions for doing parallel programming with 'Rcpp'.
For example, the parallelFor() function can be used to convert the work of
a standard serial "for" loop into a parallel one and the parallelReduce()
function can be used for accumulating aggregate or other values.
GNU make, Windows: cmd.exe and cscript.exe,
Solaris: g++ is required
JJ Allaire [aut, cre],
Romain Francois [aut, cph],
Gregory Vandenbrouck [aut],
Marcus Geelnard [aut, cph] (TinyThread library,
http://tinythreadpp.bitsnbites.eu/),
RStudio [cph],
Intel [aut, cph] (Intel TBB library,
https://www.threadingbuildingblocks.org/),
Microsoft [cph]

c(
person("JJ", "Allaire", role = c("aut"), email = "jj@rstudio.com"),
person("Romain", "Francois", role = c("aut", "cph")),
person("Kevin", "Ushey", role = c("aut", "cre"), email = "kevin@rstudio.com"),
person("Gregory", "Vandenbrouck", role = "aut"),
person("Marcus", "Geelnard", role = c("aut", "cph"),
comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/"),
person(family = "RStudio", role = "cph"),
person(family = "Intel", role = c("aut", "cph"),
comment = "Intel TBB library, https://www.threadingbuildingblocks.org/"),
person(family = "Microsoft", role = "cph")
)
High level functions for parallel programming with 'Rcpp'.
For example, the 'parallelFor()' function can be used to convert the work of
a standard serial "for" loop into a parallel one and the 'parallelReduce()'
function can be used for accumulating aggregate or other values.
JJ Allaire [aut],
Romain Francois [aut, cph],
Kevin Ushey [aut, cre],
Gregory Vandenbrouck [aut],
Marcus Geelnard [aut, cph] (TinyThread library,
http://tinythreadpp.bitsnbites.eu/),
RStudio [cph],
Intel [aut, cph] (Intel TBB library,
https://www.threadingbuildingblocks.org/),
Microsoft [cph]