Changes in version 0.9.0                        

  - Adds ddml_attgt() for staggered DiD and ddml_apo() for average
    potential outcomes.
  - Adds ddml_policy() for multi-action policy value estimation.
  - Adds ddml() constructor for custom DML estimators with user-supplied
    scores.
  - Adds lincom() for inference on linear combinations. Supports
    computation of dynamic average treatment effects via
    lincom_weights_did().
  - Influence-function-based inference via the ral class; all estimators
    now inherit from ral.
  - Adds ddml_rep() and ddml_replicate() for repeated cross-fitting with
    median, mean, or spectral-norm aggregation.
  - Adds diagnostics() for MSPE, R-squared, stacking weights, and CVC
    tests.
  - Adds fitted/splits pass-through to all ddml_*() estimators.
  - New S3 methods: plot(), as.list(), hatvalues(), nobs(),
    multi-ensemble tidy()/glance().
  - Adds uniform confidence bands via multiplier bootstrap
    (confint(uniform = TRUE)).
  - Adds HC0/HC3 variance estimators, parallel computation, stratified
    cross-fitting, cluster-aware splitting, and input validation.
  - Adds broom compatibility.
  - Fixes ddml_fpliv() with custom weights.
  - Breaking changes:
      - Inference internals use $inf_func instead of
        $scores/$J/$psi_a/$psi_b.
      - Utility functions (crosspred, crossval, ensemble,
        ensemble_weights, shortstacking) no longer accept Z/newZ.
        Pre-concatenate instruments with covariates (e.g., cbind(X, Z)).
      - crosspred() and shortstacking() drop
        compute_insample_predictions and insample_fitted output.
      - ddml_fpliv() drops the enforce_LIE argument.
      - shortstacking() drops shortstack_y.
      - ddml_*() estimators drop subsamples, cv_subsamples,
        subsamples_byD, cv_subsamples_byD. Use the new splits parameter
        instead.

                 Changes in version 0.3.0 (2024-10-02)                  

  - Implements one-way clustered inference.
  - Increases defaults for sample_folds and cv_folds to 10.
  - Fixes typo in auxiliary_X arguments.

                 Changes in version 0.2.2 (2024-06-26)                  

  - Changes ddml::ols() default to const=TRUE.
  - Adds probability forest compatibility to ddml::mdl_ranger().
  - Adds propensity score trimming option to ddml::ddml_ate(),
    ddml::ddml_att(), and ddml::ddml_late().
  - Fixes ATE and LATE scores.
  - Fixes output of ddml::print.summary.ddml_plm and
    ddml::print.summary.ddml_ate (#57).

                 Changes in version 0.2.1 (2024-05-26)                  

  - Fixes permuted residuals returned by ddml::crossval (#54).

                 Changes in version 0.2.0 (2024-01-09)                  

  - Adds support for the average treatment effect on the treated
    estimator.
  - Adds support for local average treatment effect estimation with
    perfect compliance or perfect non-compliance.
  - Adds support for custom ensemble weights.
  - Adds article on integration with the did package.
  - Adds ddml::mdl_glm wrapper for stats::glm().

                 Changes in version 0.1.0 (2023-08-29)                  

  - Initial CRAN submission.