Imports: BBmisc (>= 1.7), checkmate (>= 1.1), fail (>= 1.2)
Suggests: testthat, parallel, Rmpi, BatchJobs (>= 1.2)

Title: Unified interface to Some Popular Parallelization Back-ends for
Interactive Usage and Package Development
Imports: BBmisc (>= 1.8), checkmate (>= 1.5.1), parallel
Suggests: testthat, Rmpi, BatchJobs (>= 1.5)

Title: Unified Interface to Parallelization Back-Ends
Description: Unified parallelization framework for multiple back-end,
designed for internal package and interactive usage.
The main operation is a parallel "map" over lists.
Supports local, multicore, mpi and BatchJobs mode.
Allows "tagging" of the parallel operation

Description: Unified parallelization framework for multiple
back-end, designed for internal package and interactive usage.  The
main operation is parallel mapping over lists.  Supports 'local',
'multicore', 'mpi' and 'BatchJobs' mode.  Allows tagging of the
parallel operation with a level name that can be later selected by the
user to switch on parallel execution for exactly this operation.
Imports: BBmisc (>= 1.8), checkmate (>= 1.8.0), parallel, stats, utils
Suggests: BatchJobs (>= 1.8), batchtools (>= 0.9.6), data.table, Rmpi,

Title: 'Htmlwidget' for a Parallel Coordinates Plot
person("Mike", "Bostock", role = c("aut", "cph"), comment = "d3.js library in htmlwidgets/lib, http://d3js.org"),
person("David", "Chazalviel", email = "david.chazalviel@club-internet.fr", role = c("aut", "cre")),
person("Benoit", "Lehman", email = "benoit.lehman@tech-advantage.com", role = c("aut"))
Description: Create a parallel coordinates plot, using 'htmlwidgets' package and 'd3.js'.
Suggests: testthat, shiny, knitr, rmarkdown
Packaged: 2021-01-14 11:02:53 UTC; cuckooland

Title: A Parallel Voting Version of Support Vector Machine
Description: By sampling your data, running the Support Vector Machine algorithm on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular Support Vector Machine and possibly even more accurate predictions.
Imports: parallel (>= 3.1.1), foreach (>= 1.2.0), doParallel (>=