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phscs: Philippine Statistical Classification Systems

A unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: purrr (≥ 1.0.2), jsonlite (≥ 1.8.8), dplyr (≥ 1.1.0), tidyr (≥ 1.3.1), stringr (≥ 1.4.0)
Suggests: rlang (≥ 1.0.2), testthat (≥ 3.0.0), utils (≥ 4.0.0), cli, gt, rmarkdown, knitr
Published: 2025-11-09
DOI: 10.32614/CRAN.package.phscs
Author: Bhas Abdulsamad ORCID iD [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad at gmail.com>
BugReports: https://github.com/yng-me/phscs/issues
License: MIT + file LICENSE
URL: https://yng-me.github.io/phscs/, https://github.com/yng-me/phscs
NeedsCompilation: no
Materials: README
CRAN checks: phscs results

Documentation:

Reference manual: phscs.html , phscs.pdf
Vignettes: Using the 'phscs' Package (source, R code)

Downloads:

Package source: phscs_0.1.0.tar.gz
Windows binaries: r-devel: phscs_0.1.0.zip, r-release: phscs_0.1.0.zip, r-oldrel: phscs_0.1.0.zip
macOS binaries: r-release (arm64): phscs_0.1.0.tgz, r-oldrel (arm64): phscs_0.1.0.tgz, r-release (x86_64): phscs_0.1.0.tgz, r-oldrel (x86_64): phscs_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=phscs 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.
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