Imports: gh, utils, remotes, usethis (>= 2.0.0), curl, withr
Suggests: testthat (>= 2.1.0), knitr, mockery, rstudioapi

Imports: gh (>= 1.2.1), utils, remotes, usethis (>= 2.0.0), curl, withr
Suggests: testthat (>= 2.1.0), knitr, mockery, rstudioapi, covr

Suggests: testthat (>= 2.1.0), knitr, mockery, rstudioapi, covr,

Description: Interface to 'NatureServe' (<http://www.natureserve.org>).
Includes methods to get data, image metadata, search taxonomic names,
Suggests: roxygen2 (>= 5.0.1), testthat, covr, ggplot2, maps, mapproj

Suggests: testthat, knitr, ggplot2, maps, mapproj, vcr
X-schema.org-keywords: taxonomy, species, API, web-services,

Description: Interface to 'NatureServe' (<https://www.natureserve.org>).
Imports: crul (>= 0.7.0), xml2, tibble, data.table

Description: Interface to 'NatureServe' (<https://www.natureserve.org/>).
Imports: crul (>= 0.7.0), jsonlite, tibble

Title: Obtain Unweighted Natural Strata that Balance Many Covariates
person("Katherine", "Brumberg", email = "kbrum@wharton.upenn.edu",
Description: Natural strata fix a constant ratio of controls to treated units within
each stratum. This ratio need not be an integer. The control units are
chosen using randomized rounding of a linear program that balances many
To solve the linear program, the 'Gurobi' commercial optimization software
is recommended, but not required. The 'gurobi' R package can be installed following the instructions
Imports: Rglpk, stats, plyr, pps, sampling, ggplot2, rlang
Suggests: knitr, rmarkdown, markdown, testthat (>= 3.0.0), DT, stringr,

Description: Natural strata can be used in observational studies to balance
the distributions of many covariates across any number of treatment
groups and any number of comparisons. These strata have proportional
amounts of units within each stratum across the treatments, allowing
for simple interpretation and aggregation across strata. Within each
stratum, the units are chosen using randomized rounding of a linear
Imports: Rglpk, stats, plyr, pps, sampling, ggplot2, rlang, ramify,