Changes in version 0.2.0 (2026-10-10)                  

New features

  - read_dbc(engine = "native") decodes DBC records directly into R
    columns without DBF or CSV temporary files. In engine = "auto", this
    native path is selected for files up to 50 MiB by default; set
    native_threshold to control the cutoff.

  - dbc_to_csv() now writes CSV rows directly from the decompression
    stream, removing the full-sized temporary DBF previously required
    during conversion.

  - dbc_batch_to_csv() gains cols for field selection and workers for
    file-level parallel conversion on macOS and Linux.

                        Changes in version 0.1.0                        

New features

  - dbc_batch_to_csv() converts every DBC file in a directory,
    optionally recursively, while preserving the input subdirectory
    layout.

  - dbc_to_csv() and read_dbc() gain a cols parameter to select fields
    in the C writer, avoiding creation of unselected columns in the
    temporary CSV.

  - read_dbc() gains engine = "auto" | "data.table" | "base" so users
    can choose the CSV reader explicitly for large files.

  - read_dbc() gains a coerce_types = TRUE parameter that automatically
    converts columns to their native R types based on the DBF field
    metadata:
    
      - D (date) fields → Date (DBF format YYYYMMDD)
      - N fields with decimals > 0 → numeric
      - N fields with decimals == 0 → integer when values fit in R
        integers, otherwise numeric
      - L (logical) fields → logical
      - C (character) fields → character (unchanged) Blank or
        zero-filled values become NA of the appropriate type.