High-Performance Open-Source Archive
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.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.cli::cli_inform() message when MI diagnostics are not
applicable, rather than returning NA rows.plot_forest() and
efficacy_table() help pages.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.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.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.cli (>= 3.6.0) and lifecycle
(>= 1.0.4) to Imports for improved error messaging and deprecation
support.analyse_mi_data() with
clearer error messages using inherits() instead of internal
class helpers.prepare_data_ice() to
check vars fields.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.
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