Changes in version 1.0.0 (2026-05-29)                  

Breaking changes

  - New public API: the primary interface is now four snake_case
    functions: gwpr(), select_bandwidth(), fit_gwpr(), diagnose_gwpr().
  - sf first: spatial input must be an sf object. The legacy sp /
    SpatialPolygonsDataFrame interface of the 0.x API is not supported
    by the new functions.
  - Old functions deprecated: GWPR(), bw.GWPR(), GWPR.moran.test(),
    GWPR.pFtest(), GWPR.phtest(), and GWPR.plmtest() remain in the
    package for backwards compatibility but will be removed in a future
    version.

New features

  - gwpr(): one-call pipeline that validates inputs, optionally searches
    for the optimal bandwidth, fits the model, and runs diagnostics.
  - select_bandwidth(): standalone bandwidth optimisation with three
    search strategies:
      - "grid" — exhaustive grid search over a user-defined range.
      - "sgd" — stochastic gradient descent (fast, scales to large
        grids).
      - "random" — random sampling over a candidate set.
  - fit_gwpr(): fit a GWPR model with a known bandwidth. Supports family
    = "gaussian" (linear) and family = "binomial" (panel logistic).
  - diagnose_gwpr(): collects results from Moran's I ("moran"), local
    F-test ("f_test"), Hausman test ("hausman"), and LM test
    ("lm_test").
  - Five kernel functions: "bisquare" (default), "gaussian",
    "exponential", "tricube", "boxcar".
  - Adaptive bandwidth (adaptive = TRUE) using k-nearest-neighbour
    approach.
  - Optional parallelism via workers argument (requires future and
    future.apply; default workers = 1 is always safe).
  - Memory estimation: gwpr() warns when the estimated memory footprint
    is high before starting long computations.
  - Reproducibility: seed argument propagates to all stochastic steps.

Dependency changes

  - Added: fixest, glmmTMB (for binomial panel logistic models).
  - future and future.apply moved to Suggests (only needed for workers
    > 1).
  - R (>= 3.5.0) minimum version (was R (>= 2.10)).

                 Changes in version 0.2.1 (2022-06-21)                  

  - Fixed compatibility with development version of tidyselect.

                 Changes in version 0.2.0 (2022-03-21)                  

  - Revised examples to reduce run time.
  - Removed manual documents for internal helper functions.

                 Changes in version 0.1.0 (2021-10-12)                  

  - Initial CRAN release.