Changes in version 0.2.0 (2026-05-13)                  

Breaking changes

  - get_psgc() has a completely new interface. It is now re-exported
    directly from the psgc package. The old parameters (token, version,
    level, harmonize, minimal, cols) are gone. Use the new psgc
    parameters instead:
    
    # Before
    get_psgc(level = "regions")
    get_psgc(grepl("^10", area_code))   # dplyr filter
    
    # After
    get_psgc(geographic_level = "region")
    psgc_all <- get_psgc()
    psgc_all[grepl("^10", psgc_all$psgc_code), ]   # base R subsetting

    See vignette("psgc", package = "psgc") for full documentation.

  - ... (dplyr filter) removed from all classification functions.
    get_psic(), get_psoc(), get_pcpc(), get_psced(), and get_pcoicop()
    no longer accept unquoted filter expressions. Filter rows with
    standard R subsetting after the call.

  - token and harmonize parameters removed from all classification
    functions. Data is now always sourced from the bundled local dataset
    — no API access or internet connection is needed.

New features

  - Added get_psccs() for the Philippine Standard Commodity
    Classification System (PSCCS 2018).

  - All classification functions gain a cols = "description" option to
    include the full text description alongside value and label.

  - PCOICOP now ships both the 2020 (default) and 2009 editions. Switch
    with get_pcoicop(version = "2009").

Other improvements

  - Removed runtime dependencies on dplyr, tidyr, purrr, stringr, and
    jsonlite. The only Imports are now cli and psgc.

  - Minimum R version lowered from 4.1.0 to 3.5.

  - Data is pre-parsed at build time into a compressed sysdata.rda,
    making all functions substantially faster.

                 Changes in version 0.1.0 (2025-11-09)                  

  - Initial CRAN submission.