Changes in version 0.2.1 (2026-07-21)                  

Reproducibility

  - Add torch_seed to ria.test.control() to control Torch neural-network
    initialization and dropout independently of R's random-number
    generator.
  - Delay Torch device initialization until after R-randomized
    estimation steps, so first-use Torch initialization cannot change
    cross-fitting or Z-prime folds.

                        Changes in version 0.2.0                        

Breaking changes

  - Restrict estimation to natural effects, randomized interventional
    analogues, and the TE - TE^R falsification test.
  - Replace effect with estimand = "test", "natural", or "ria"; the test
    is now the default.
  - Align returned estimand names with the paper and remove nuisance
    fits from the returned object.

                        Changes in version 0.1.3                        

Bug fixes

  - Synced fold construction and influence-function identifiers with
    upstream fixes.

                        Changes in version 0.1.2                        

Bug fixes

  - Fixed a bug caused by upgrading to S7 0.2.0.

                        Changes in version 0.1.0                        

General

  - Initial CRAN submission.
  - Uses ife for storing effect estimates.