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zipcodeR: Data & Functions for Working with US ZIP Codes

Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data, geocoding & distance calculations.

Version: 0.3.5
Depends: R (≥ 3.5.0)
Imports: rlang, stringr, raster, tidycensus, tidyr, dplyr, jsonlite, httr, curl, RSQLite, DBI
Suggests: knitr, rmarkdown, markdown, readr, testthat (≥ 3.0.0), covr, tibble
Published: 2022-10-03
DOI: 10.32614/CRAN.package.zipcodeR
Author: Gavin Rozzi ORCID iD [aut, cre]
Maintainer: Gavin Rozzi <gr at gavinrozzi.com>
BugReports: https://github.com/gavinrozzi/zipcodeR/issues/
License: GPL-3
URL: https://github.com/gavinrozzi/zipcodeR/, https://www.gavinrozzi.com/project/zipcoder/
NeedsCompilation: no
Citation: zipcodeR citation info
Materials: README NEWS
CRAN checks: zipcodeR results

Documentation:

Reference manual: zipcodeR.pdf
Vignettes: Geographic functions in zipcodeR
Introduction to zipcodeR

Downloads:

Package source: zipcodeR_0.3.5.tar.gz
Windows binaries: r-devel: zipcodeR_0.3.5.zip, r-release: zipcodeR_0.3.5.zip, r-oldrel: zipcodeR_0.3.5.zip
macOS binaries: r-release (arm64): zipcodeR_0.3.5.tgz, r-oldrel (arm64): zipcodeR_0.3.5.tgz, r-release (x86_64): zipcodeR_0.3.5.tgz, r-oldrel (x86_64): zipcodeR_0.3.5.tgz
Old sources: zipcodeR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=zipcodeR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.