Changes in version 0.3.1                        

Improvements

  - Factored the duplicated single-basis / multi-basis branching in
    block_hrf(), evaluate.HRF(), and normalise_hrf() into three internal
    helpers (.weighted_combine, .normalise_result, .get_peaks). No
    user-visible behavior change.

New Features

  - Added a package-owned command line interface with installed fmrihrf
    wrapper, fmrihrf_cli(), and install_cli().

Improvements

  - Removed an unused suggested dependency and tightened build-ignore
    rules for local check artifacts.

                 Changes in version 0.3.0 (2026-03-28)                  

Improvements

  - Consolidated derivative method Rd aliases into parent help pages,
    reducing documentation redundancy.
  - Added explicit importFrom(utils, tail) to avoid R CMD check NOTEs.

Bug Fixes

  - Guarded is.symbol() before as.character() in internal eco atlas
    extraction to prevent errors on non-symbol inputs.

                        Changes in version 0.2.1                        

Bug Fixes

  - Fixed hrf_bspline() support handling so values for t > span (and t
    < 0) are zeroed instead of wrapping to onset-like values.
  - Fixed block_hrf() block integration to include quadrature step-size
    scaling, making amplitudes stable across precision.
  - Fixed hrf_sine() and hrf_fourier() to clamp support to [0, span] and
    return zero outside the modeled window.
  - Fixed normalise_hrf() to use fixed normalization constants computed
    on the HRF support, avoiding data-dependent scaling across
    evaluation grids.
  - Fixed evaluate.HRF() block-duration summation to use the same
    weighted integration scheme as block_hrf().
  - Fixed evaluate.Reg(normalize = TRUE) to normalize regressor outputs
    consistently across evaluation methods, including single-trial
    regressors with different durations.
  - Fixed block_hrf(summate = FALSE) to return normalized block
    integration (for both single- and multi-basis HRFs) instead of the
    legacy pointwise-maximum behavior.

                 Changes in version 0.2.0 (2026-02-09)                  

New Features

  - New hrf_boxcar() function for simple boxcar (step function) HRFs
    with optional normalization.
  - New hrf_weighted() function for arbitrary weighted-window HRFs with
    constant or linear interpolation.
  - regressor() now accepts a list of HRF objects for trial-varying HRF
    designs.
  - New plot.Reg() method for visualizing regressor objects.
  - New plot_regressors() for comparing multiple regressors on one plot
    (ggplot2 or base R).
  - New plot_hrfs() for comparing multiple HRF shapes.
  - New print.HRF() method for concise HRF summaries.

Improvements

  - Revised hemodynamic response and regressor vignettes.
  - Expanded test suite for new HRF types and trial-varying regressors.

Bug Fixes

  - Fixed critical bug in as_hrf() where parameters stored in the params
    attribute were never used at evaluation time. The fix creates a
    closure that properly captures and applies parameters during
    evaluation.

                 Changes in version 0.1.0 (2025-09-16)                  

  - Initial CRAN release