Changes in version 0.1.0 (2026-10-28)                  

First release of the R package, a port of the Python package
rd2dnet 0.1.0 with the same methods and, on the bundled mock city, the
same numbers.

  - Network boundary discontinuity estimation (rdnet()): side-specific
    local polynomials in network coordinates, robust bias-corrected
    inference, uniform confidence bands, fuzzy designs, covariates,
    derivative and directional-derivative targets, HC0-HC3, cluster and
    network/Euclidean Conley standard errors.
  - Aggregate effects as in rd2d: wbate() and lbate(), with the joint
    covariance across evaluation points stored in the result (vcov()).
  - Bandwidth selection (rdbwnet()), ported from rd2d's direct plug-in,
    including the coverage-error-optimal variants.
  - Density (sorting) test (density() method for network coordinates),
    ported from rddensity, with a street-length normalisation.
  - User-defined network metrics: edge costs, travel time, node
    contrasts, transition penalties between road classes
    (transition_cost()) and precomputed matrices.
  - Networks from data frames, adjacency matrices, igraph graphs or
    OpenStreetMap (via dodgr), with sf geometries accepted for points,
    boundaries, regions and masks.
  - Shortest paths, nearest-segment snapping and the sparse Conley
    kernel are implemented in C++.
  - Vignette with donut, covariate-balance, placebo-boundary and
    difference-in-discontinuities recipes.