Title: Converts country names and coding schemes
Description: Standardizes country names, converts them into one of
seven coding schemes, and assigns region descriptors

Title: Convert country names and country codes
Description: Standardize country names, convert them into one of seven
coding schemes, convert between coding schemes, and assign

Description: Standardize country names, convert them into one of
seven coding schemes, convert between coding schemes, and

eleven coding schemes, convert between coding schemes, and

Title: Convert Country Names and Country Codes

Title: Create and manipulate data frames that contain country names or
seven coding schemes, assigns region descriptors, and generates
empty dyadic or country-year dataframes from the coding
Packaged: Thu Jun 11 17:46:43 2009; huippusari

person("Vincent", "Arel-Bundock", email = "vincent.arel-bundock@umontreal.ca", role = c("aut", "cre")),
person("CJ", "Yetman", email = "cj@cjyetman.com", role = "ctb")
Author: Vincent Arel-Bundock [aut, cre],

person("CJ", "Yetman", email = "cj@cjyetman.com", role = "ctb", comment = c(ORCID = "0000-0001-5099-9500")),
person("Nils", "Enevoldsen", email = "nils@wlonk.com", role = "ctb", comment = c(ORCID = "0000-0001-7195-4117"))

Packaged: 2020-04-22 12:36:56 UTC; vincent-imac

40 different coding schemes, convert between coding schemes, and
Packaged: 2020-05-07 18:57:33 UTC; vincent-imac

Description: Standardize country names, convert them into one of 40
different coding schemes, convert between coding schemes, and assign

Title: Quantify United States County-Level Flood Measurements
Authors@R: c(person("Rod", "Lammers", email = "rodlammers@gmail.com",
person("Brooke", "Anderson", email = "brooke.anderson@colostate.edu",
Description: Quantifies United States flood impacts at the county level using
United States Geological Service (USGS) River Discharge data for the USGS
API. This package builds on R packages from the USGS, with the goal of
creating county-level time series of flood status that can be more easily
joined with county-level impact measurements, including health outcomes.
This work was supported in part by grants from the National Institute of
Environmental Health Sciences (R00ES022631), the Colorado Water Center,
and the National Science Foundation, Integrative Graduate Education and
Research Traineeship (IGERT) Grant No. DGE-0966346 "I-WATER: Integrated
Water, Atmosphere, Ecosystems Education and Research Program" at
Imports: dataRetrieval (>= 2.5.10), dplyr (>= 0.5.0), ggplot2 (>=
Suggests: testthat, knitr, rmarkdown, hurricaneexposure, scales