Description: An R-focused pipeline toolkit
for reproducible code and high-performance computing.
Imports: codetools, crayon, evaluate, digest, formatR, future,
future.apply, grDevices, igraph, knitr, lubridate, magrittr,
parallel, plyr, R.utils, rprojroot, stats, storr (>= 1.1.0),
stringi, stringr, testthat, utils, visNetwork, withr
Suggests: abind, cranlogs, DBI, Ecdat, future.batchtools, ggplot2,
MASS, methods, RSQLite, rmarkdown, tibble

Imports: bindr, CodeDepends, crayon, evaluate, digest, formatR, future,
parallel, pkgconfig, plyr, purrr, R6, R.utils, rlang (>=
0.2.0), rprojroot, stats, storr (>= 1.1.0), stringi, stringr,
testthat, tibble, tidyselect (>= 0.2.4), utils, visNetwork,
Suggests: abind, cranlogs, curl, DBI, DT, dplyr, Ecdat,
future.batchtools, ggplot2, httr, MASS, methods, RSQLite,

Imports: bindr, CodeDepends, crayon, evaluate, digest, dplyr, formatR,
future, future.apply, grDevices, igraph, knitr, lubridate,
magrittr, parallel, pkgconfig, plyr, purrr, R6, R.utils, rlang
(>= 0.2.0), rprojroot, stats, storr (>= 1.1.0), stringi,
Suggests: abind, callr, cranlogs, curl, DBI, DT, Ecdat,

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis,
drake rebuilds intermediate data objects when their dependencies change,
and it skips work when the results are already up to date.
Not every execution starts from scratch,
and completed projects have tangible evidence
Extensive documentation, from beginner-friendly tutorials
to practical examples and more, is available at the reference website
<https://ropensci.github.io/drake/> and the online manual
future, future.apply, fs, grDevices, igraph, knitr, lubridate,
magrittr, parallel, pkgconfig, purrr, R6, R.utils, rlang (>=
0.2.0), rprojroot, stats, storr (>= 1.1.0), stringi, testthat,
tibble, tidyselect (>= 0.2.4), txtq, utils, visNetwork, withr
Suggests: abind, callr, DBI, MASS, methods, RSQLite, rmarkdown, tidyr

Imports: bindr, codetools, crayon, evaluate, digest, dplyr, formatR,
fs, grDevices, igraph, knitr, magrittr, parallel, pkgconfig,
purrr, R6, R.utils, rlang (>= 0.2.0), rprojroot, stats, storr
(>= 1.1.0), stringi, testthat, tibble, tidyselect (>= 0.2.4),
Suggests: abind, callr, clustermq, DBI, future, future.apply, ggplot2,
ggraph, lubridate, MASS, methods, networkD3, RSQLite, txtq,