ria.test 0.2.1

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.

ria.test 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.

ria.test 0.1.3

Bug fixes

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

ria.test 0.1.2

Bug fixes

• Fixed a bug caused by upgrading to S7 0.2.0.

ria.test 0.1.0

General

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