Imports: ggplot2 (>= 2.2.0), grid, gridExtra, gtable, knitr (>= 1.12),
Collate: 'ggplot2.r' 'brackets.R' 'coord-flex.r' 'coord-capped.r'
Suggests: rmarkdown, stringr, dplyr, tidyverse, testthat
Author: Stefan McKinnon Edwards [aut, ctb, cre]

Imports: ggplot2 (>= 2.2.0), plyr, grid, gridExtra, gtable, knitr (>=
Suggests: rmarkdown, stringr, dplyr, testthat

Collate: 'ggplot2.r' 'lemon-plot.r' 'axis-annotation.r' 'brackets.R'

Imports: ggplot2 (>= 3.3.0), plyr, grid, gridExtra, gtable, knitr (>=

Title: Elegant Data Manipulation with Lenses
Description: Provides tools for creating and using lenses to simplify data manipulation. Lenses are composable getter/setter pairs for working with data in a purely functional way. Inspired by the 'Haskell' library 'lens' (Kmett, 2012) <https://hackage.haskell.org/package/lens>. For a fairly comprehensive (and highly technical) history of lenses please see the 'lens' wiki <https://github.com/ekmett/lens/wiki/History-of-Lenses>.
Authors@R: c(person("Chris", "Hammill", , "cfhammill@gmail.com", c("aut", "cre", "trl")), person("Ben", "Darwin", , "", c("aut", "trl")))
Collate: 'verbs.R' 'lens.R' 'array-lenses.R' 'base-lenses.R' 'utils.R'

person(family = "Central Bank of Chile",
Description: An implementation of the Input-Output model developed by
Wassily Leontief that represents the interdependencies between different
sectors of a national economy or different regional economies.
Suggests: knitr, rmarkdown, covr, roxygen2, testthat

Title: Create Simple 'Shiny' Applications as Packages
Description: Code generator for robust dependency-free 'Shiny'
applications in the form of packages. It includes numerous
convenience functions to create modules, include utility
functions to create common 'Bootstrap' elements, setup a
project from the ground-up, and much more.
Imports: fs, cli, usethis, jsonlite, roxygen2
Suggests: bslib, yaml, covr, sass, htmltools, packer, shiny, testthat

Title: Access Landscape Evaporative Response Index Raster Data
Description: Finds and downloads Landscape Evaporative Response
Index (LERI) data, then reads the data into 'R' using the 'raster'
package. The LERI product measures anomalies in actual
evapotranspiration, to support drought monitoring and early warning
systems. More info on LERI is available at
Suggests: covr, knitr, maptools, rmarkdown, sf, sp, testthat, viridis