person(family = "Landau", given = c("William", "Michael"),
email = "will.landau@lilly.com", role = c("aut", "cre")),
person(family = "Eli Lilly and Company", role = "cph"))
Description: Efficiently keep your results up to date with your code.
Imports: crayon, digest, eply, formatR, igraph, magrittr, methods,
plyr, pryr, R6 (>= 2.1.0), stats, storr, stringi (>= 0.4.1),
Author: William Michael Landau [aut, cre],
Maintainer: William Michael Landau <will.landau@lilly.com>

Description: Reproducible build system for any project. Understands
the dependency structure of your workflow, builds out-of-date
targets, skips up-to-date targets, and offers two forms of
Imports: codetools, crayon, eply, digest, igraph, magrittr, parallel,
plyr, R.utils, storr, stringi, stringr, testthat, tools, utils

the dependency structure of your project, builds out-of-date

Imports: base64url, codetools, crayon, eply, digest, igraph, magrittr,
parallel, plyr, R.utils, storr, stringi, stringr, testthat,

Description: A solution for reproducible code and
Suggests: abind, knitr, MASS, rmarkdown, tibble

parallel, plyr, R.utils, stats, storr, stringi, stringr,

Imports: base64url, codetools, crayon, eply, digest, igraph, lubridate,
magrittr, parallel, plyr, R.utils, stats, storr, stringi,
stringr, testthat, tools, utils, visNetwork, withr
Suggests: abind, knitr, MASS, methods, rmarkdown, tibble

Imports: codetools, crayon, eply, digest, grDevices, igraph, lubridate,
magrittr, parallel, plyr, R.utils, rprojroot, stats, storr (>=
1.1.0), stringi, stringr, testthat, utils, visNetwork, withr

Imports: codetools, crayon, eply, digest, grDevices, igraph, knitr,
lubridate, magrittr, parallel, plyr, R.utils, rprojroot, stats,
storr (>= 1.1.0), stringi, stringr, testthat, utils,
Suggests: abind, MASS, methods, rmarkdown, tibble

Imports: codetools, crayon, eply, evaluate, digest, future, grDevices,
igraph, knitr, lubridate, magrittr, parallel, plyr, R.utils,
rprojroot, stats, storr (>= 1.1.0), stringi, stringr, testthat,
Suggests: abind, future.batchtools, MASS, methods, rmarkdown, tibble