Changes in version 0.1.0 (2026-09-15)                  

  - First release.
  - dml_bounds() fits the DML-Bounds test of Villena (2026): a balanced,
    cross-fitted first stage orthogonalises the lagged levels against a
    high-dimensional control set, and the null of no level relationship
    is tested on the residualised variables.
  - dml_bootstrap() implements the restricted system wild bootstrap,
    which regenerates the outcome and the focal regressor jointly under
    a shared Rademacher weight so the endogeneity channel is preserved.
  - trend_absorption() and penalty_sensitivity() report whether a
    verdict survives a change of conditioning set or of penalty.
  - classical_bounds_test() runs all three steps of the classical
    procedure and reads the statistic against a bracket simulated at the
    model's own sample size, rather than against a table calibrated at T
    = 1000.
  - simulate_pss_bounds() regenerates the classical bracket from the
    data-generating process of Pesaran, Shin and Smith (2001); no
    critical-value table is stored in the package.
  - Bundled passthrough data: nine monthly United States macroeconomic
    series, 1973-2020, so every example runs offline.