Changes in version 0.3.0.9000                      

                 Changes in version 0.3.0 (2026-02-16)                  

CRAN Release

                        Changes in version 0.2.2                        

New Features

  - describe_draws() extracts structured metadata from rbmi draws
    objects, including method type, formula, sample count, and (for
    Bayesian methods) MCMC convergence diagnostics (ESS, Rhat).
  - describe_imputation() extracts imputation metadata including method,
    number of imputations (M), reference arm mappings, and a missingness
    breakdown by visit and treatment arm.
  - pool_to_ard() gains an analysis_obj parameter that enriches the ARD
    with MI diagnostic statistics (FMI, lambda, RIV, Barnard-Rubin
    adjusted df, relative efficiency) when the pooling method is Rubin's
    rules.

Improvements

  - efficacy_table() gains font_family, font_size, and row_padding
    parameters for publication-ready table styling.
  - plot_forest() gains font_family and panel_widths parameters for
    customizable typography and panel layout.
  - plot_forest() left panel now uses left-aligned text (hjust=0) for
    consistent positioning regardless of label length.
  - Non-Rubin pooling methods now emit an informative cli::cli_inform()
    message when MI diagnostics are not applicable, rather than
    returning NA rows.

                        Changes in version 0.2.1                        

New Features

  - End-to-end pipeline vignette "From rbmi Analysis to Regulatory
    Tables" with continuous and binary analysis walkthroughs.
  - README enhanced with rendered efficacy table and forest plot visual
    teasers.
  - Rendered example output images in plot_forest() and efficacy_table()
    help pages.
  - Inline cross-references to rbmi and beeca documentation in all
    vignettes.

Improvements

  - validate_data() now uses cli-formatted error messages with clearer
    guidance for malformed interaction terms, empty data, and type
    mismatches.
  - prepare_data_ice() now errors immediately when vars$strategy is NULL
    instead of silently using a default column name.
  - prepare_data_ice() warns when visit column is character with
    guidance to convert to factor for correct ordering.
  - validate_data() batches all type coercion warnings into a single
    message and warns on all-NA covariate columns.
  - Data preparation functions handle edge cases (single subject, single
    visit, all-NA outcome, all-complete data) gracefully.

                        Changes in version 0.2.0                        

Breaking Changes

  - tidy_pool_obj() now uses regex-based parameter parsing instead of
    splitting on _. Output columns (parameter_type, lsm_type, visit) now
    contain the full visit name rather than truncated fragments.

New Features

  - efficacy_table() creates regulatory-style gt summary tables from
    pool objects.
  - plot_forest() creates publication-quality three-panel forest plots
    from pool objects.
  - pool_to_ard() converts pool objects to pharmaverse ARD format via
    the cards package.
  - print() and summary() S3 methods for pool and analysis objects.
  - create_impid() converts lists of imputed datasets into stacked
    data.frames.
  - combine_results() combines tidy results from multiple analyses.
  - format_results() and format_results_table() for publication-ready
    formatting.
  - extract_trt_effects() and extract_lsm() convenience filters for tidy
    results.

Dependencies

  - Added cli (>= 3.6.0) and lifecycle (>= 1.0.4) to Imports for
    improved error messaging and deprecation support.

Improvements

  - Enhanced input validation in analyse_mi_data() with clearer error
    messages using inherits() instead of internal class helpers.
  - Enhanced input validation in prepare_data_ice() to check vars
    fields.
  - Cross-references between related functions in documentation.
  - Expanded test coverage and integration tests.

                        Changes in version 0.1.9                        

New Features

  - reduce_imputed_data() and expand_imputed_data() for efficient
    storage of imputed datasets.
  - validate_data() for pre-flight validation before rbmi::draws().
  - prepare_data_ice() to build data_ice from flagged ICE columns.
  - summarise_missingness() for tabulating missing data patterns.
  - format_pvalue(), format_estimate(), format_results_table()
    formatting utilities.
  - ADEFF and ADMI example datasets.

Improvements

  - Initial documentation via pkgdown.

                 Changes in version 0.1.8 (2026-01-24)                  

CRAN Release

  - Released to CRAN on 2026-01-24.

                        Changes in version 0.1.7                        

Improvements

  - Moved tidyr from Suggests to Imports (used in tidy_pool_obj()).
  - Added examples to gcomp_responder() documentation.
  - Standardized examples to use native pipe operator |>.

                 Changes in version 0.1.6 (2025-09-13)                  

CRAN Release

  - Released to CRAN on 2025-09-13.

Improvements

  - Added additional tests for all utility functions.

                 Changes in version 0.1.4 (2025-05-23)                  

CRAN Release

  - Released to CRAN on 2025-05-23.

                        Changes in version 0.1.0                        

New Features

  - Initial draft package.
  - Added a NEWS.md file to track changes to the package.

Improvements

  - Preparation for CRAN submission.
  - Added documentation via pkgdown.