Changelog

Source: NEWS.md

fipio 1.1.2

CRAN release: 2024-01-21

• Fixed coords_to_fips() throwing order error due to ret_index being a list (#15)
• Return documentation back to linking to https://github.com/program-- instead of UFOKN’s GitHub org.

fipio 1.1.1

CRAN release: 2022-03-15

• Added Mike Johnson to DESCRIPTION.
• Fixed coords_to_fips() throwing error in some edge cases (#11).
• Fixed as_fips() throwing error for unknown states. (#10).
• Fixed as_fips() edge case throwing error (#13).

fipio 1.1.0

CRAN release: 2022-01-04

• fipio now depends on R >= 3.5.0 due to using .rds and version 3 .rda files.

Enhancements

• Updated internal FIPS table to TIGER 2021.
• Removed sfheaders from suggested imports.

New features

• Added the function coords_to_fips(), which provides coordinates to FIPS code utility. This is implemented without sf using a simple ray casting algorithm for intersections. Based on a few benchmarks, coords_to_fips() performs approximately the same as using sf::st_intersects() against the geometry table, but is most likely slower in the case of having a large amount of points.
• Added the function as_fips(), which provides a reverse lookup utility for FIPS codes.
• Added fastmatch to Suggests. If fastmatch is installed, all fipio functions utilizing base::match will instead use fastmatch::fmatch.
  • Note: this addition includes the function fipio::using_fastmatch() for debugging purposes, and test coverage for .has_fastmatch(), using_fastmatch(), and .onLoad() are essentially covered by the unit test containing the function calls to expect_match_assignment().
• Added data-raw/ directory describing process to get internal tables.

fipio 1.0.0

CRAN release: 2021-10-11

• Added a NEWS.md file to track changes to the package.
• Initial commit to version control with the following functions:
  • fips_abbr() - Gets state abbreviation.
  • fips_state() - Gets state name.
  • fips_county() - Gets county name.
  • fips_geometry() - Gets geometry.
  • fips_metadata() - Gets the information above as a data.frame.