globals, future.apply, listenv, markdown, R.rsp
Implementation of the Future API on top of the 'callr' package.  This allows you to process futures, as defined by the 'future' package, in parallel out of the box, on your local (Linux, macOS, Windows, ...) machine.  Contrary to backends relying on the 'parallel' package (e.g. 'future::multisession') and socket connections, the 'callr' backend provided here can run more than 125 parallel R processes.

person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"), email = "henrikb@braju.com")
Backends implementing the 'Future' API, as defined by the 'future' package, should use the tests provided by this package to validate that they meet the minimal requirements of the 'Future' API.  The tests can be performed easily from within R or from outside of R from the command line making it easy to include them package tests and in Continuous Integration (CI) pipelines.
future (>= 1.11.0), cli, crayon, prettyunits, sessioninfo

c(
person("Henrik", "Bengtsson", role = c("aut", "cre", "cph"), email = "henrikb@braju.com"),
person(family = "The R Consortium", comment = "Project was awared an Infrastructure Steering Committee (ISC) grant in 2017", role = "fnd"))
future (>= 1.22.1), cli, crayon, prettyunits, sessioninfo
Henrik Bengtsson [aut, cre, cph],
The R Consortium [fnd] (Project was awared an Infrastructure Steering
Committee (ISC) grant in 2017)

commonmark, base64enc, utils, tools, data.table, ff

Find, Characterize, and Explore Heat Waves in Climate
Projections
c(
person("Brooke", "Anderson", , "brooke.anderson@colostate.edu",
c("aut", "cre")),
person("Colin", "Eason", , "aimesce@gmail.com", c("aut")),
person("Elizabeth", "Barnes", , "eabarnes@atmos.colostate.edu", c("aut"))
)
Inputs a directory of climate projection files and, for each,
identifies and characterizes heat waves for specified study locations. The
definition used to identify heat waves can be customized. Heat wave
characterizations include several metrics of heat wave length, intensity,
and timing in the year. The heat waves that are identified can be
explored using a function to apply user-created functions across all
generated heat wave files.This work was supported in part by grants from
the National Institute of Environmental Health Sciences (R00ES022631), the
National Science Foundation (1331399), and the Colorado State University
Vice President for Research.
Brooke Anderson [aut, cre],
Colin Eason [aut],
Elizabeth Barnes [aut]