Changes in version 0.3.2                        

Breaking changes

  - Direct Rust bindings are now internal. Previously-exported
    fsrs_default_parameters(), fsrs_initial_state(), fsrs_next_state(),
    fsrs_next_interval(), fsrs_retrievability() are renamed with a _raw
    suffix and no longer in the NAMESPACE. Use the validated wrappers
    instead: fsrs_parameters(), fsrs_new_card_state(),
    fsrs_next_memory_state(), fsrs_interval(),
    fsrs_recall_probability(). Direct callers can still reach the
    bindings via rfsrs:::fsrs_*_raw, but these are not a stable API.

Documentation

  - README Low-Level table reduced to the validated wrappers only.

                        Changes in version 0.3.1                        

Bug Fixes

  - fsrs_next_memory_state() / fsrs_repeat(): fractional elapsed_days
    now rounds at the Rust FFI boundary instead of truncating.
    elapsed_days = 0.7 used to collapse to 0, giving R = 1.
  - fsrs_anki_to_reviews(): accepts rid and review_type column names
    used by ankiR::anki_revlog().
  - fsrs_version(): returns "FSRS-6". Default parameters have always
    used FSRS6_DEFAULT_DECAY = 0.1542 (fsrs-rs 5.2.0
    DEFAULT_PARAMETERS[20]).
  - fsrs_evaluate() / fsrs_optimize(): skip items whose current review
    has delta_t == 0. R = 1 exactly makes log(1 - R) diverge, which
    returned log_loss = NaN.

Documentation

  - README: Anki import example now uses anki_revlog() instead of the
    non-existent read_anki().
  - README: forgetting-curve formula matches fsrs-rs: R(t) = (1 + factor
    · t/S)^(-decay), factor = 0.9^(1/-decay) - 1.
  - README: Low-Level Functions table split into validated R wrappers
    and direct Rust bindings.

                        Changes in version 0.1.0                        

  - Initial release
  - R bindings for fsrs-rs Rust library via rextendr
  - Core functions:
      - fsrs_default_parameters(): Get FSRS-6 default parameters (21
        values)
      - fsrs_initial_state(): Create initial memory state for new cards
      - fsrs_next_state(): Calculate memory state after a review
      - fsrs_next_interval(): Get optimal interval for next review
      - fsrs_retrievability(): Calculate probability of recall
  - Supports all four FSRS ratings (Again, Hard, Good, Easy)
  - Available on r-universe: https://chrislongros.r-universe.dev
  - Builds successfully on Linux and macOS (Windows builds pending)