Apply Function to Elements in Parallel using Futures
datasets, stats, tools, listenv (>= 0.8.0), R.rsp, markdown
c(person("Henrik", "Bengtsson",
                    role = c("aut", "cre", "cph"),
                    email = "henrikb@braju.com",
                    comment = c(ORCID = "0000-0002-7579-5165")),
             person("R Core Team", role = c("cph", "ctb")))
Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework <doi:10.32614/RJ-2021-048>.
Henrik Bengtsson [aut, cre, cph]
    (<https://orcid.org/0000-0002-7579-5165>),
  R Core Team [cph, ctb]