Imports: knitr, magrittr, dplyr (>= 0.8.0)

Title: Apply Mapping Functions in Parallel using Futures
Suggests: listenv (>= 0.6.0), dplyr (>= 0.7.4), testthat
person("Davis", "Vaughan", email = "dvaughan@business-science.io", role = c("aut", "cre")),
person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut"))
Description: Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
Packaged: 2018-05-14 19:53:18 UTC; davisvaughan

Description: Implementations of the family of map() functions
from 'purrr' that can be resolved using any 'future'-supported
backend, e.g. parallel on the local machine or distributed on a
Imports: ellipsis, globals (>= 0.13.1), lifecycle (>= 0.2.0), purrr (>=
Suggests: carrier, covr, dplyr (>= 0.7.4), knitr, listenv (>= 0.6.0),
magrittr, progressr, rmarkdown, testthat, withr, tidyselect

magrittr, rmarkdown, testthat (>= 3.0.0), withr, tidyselect

Imports: ellipsis, globals (>= 0.13.1), lifecycle (>= 1.0.0), purrr (>=

person("Matt", "Dancho", , "mdancho@business-science.io", role = "aut"),
Description: Implementations of the family of map() functions from 'purrr'
that can be resolved using any 'future'-supported backend, e.g.
parallel on the local machine or distributed on a compute cluster.
magrittr, rmarkdown, testthat (>= 3.0.0), tidyselect, withr

Title: Block Splitting Algorithm for Estimation with Fused Penalty
Description: Provides methods fusedest_normal() and fusedest_logit() for carrying out block splitting algorithms for fused penalty estimation.
Imports: Rcpp, methods, Matrix, parallel, igraph, stats

Description: Provides methods fusedest_normal() and fusedest_logit() for carrying out block splitting algorithms for fused penalty estimation. For details, please see Tso-Jung Yen (2019) <doi.10618600.2019.1660178>.

Title: Build a Package from Rmarkdown File
Description: Use Rmarkdown First method to build your package. Start your
package with documentation, functions, examples and tests in the same
unique file. Everything can be set from the Rmarkdown template file
provided in your project, then inflated as a package. Inflating the
template copies the relevant chunks and sections in the appropriate
Imports: attachment, cli, desc, glue, here (>= 1.0.0), magrittr,
parsermd, rcmdcheck, roxygen2, stats, stringr, tibble, tidyr,
Suggests: knitr, pkgload, rmarkdown, spelling, testthat, withr
Author: Sebastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>),