Package index • ballast

Specify

stress_covariance(): Perturbation family: within-subject covariance structure
stress_inference(): Perturbation family: degrees-of-freedom method and variance estimator
default_inference(): Default inference settings for stress_inference()
stress_covariates(): Perturbation family: covariate set
stress_weights(): Perturbation family: least-squares-mean weighting
stress_data(): Perturbation family: alternative analysis data sets
stress_population(): Perturbation family: analysis population
stress_loo(): Perturbation family: leave-one-out deletions
stress_grid(): Perturbation family: crossed specification grid
stress_permute(): Perturbation family: re-randomisation (permutation) test
stress_tipping(): Perturbation family: delta-adjusted multiple imputation (tipping point)
stress_reference(): Perturbation family: reference-based multiple imputation
stress_estimator(): Perturbation family: estimator class
stress_fragility(): Smallest set of subjects whose removal changes the conclusion
stress_curve(): Perturbation family: a curve over a continuous data perturbation
stress_estimand(): Perturbation family: intercurrent-event strategies (ICH E9(R1))
stress_visits(): Perturbation family: the contrast at every visit
stress_ranktest(): Perturbation family: rank tests at the contrast visit

stress_census(): Assemble a census of perturbations against the base analysis
summary(<stress_census>): Summarise a census by family
stress_verdict(): Classify the census: robust, sensitive or fragile, and marginal
stress_path(): Smallest combination of analytic changes that leaves the confidence interval
path_changes(): Candidate analytic changes for the path search
tipping_point(): Find where a p-value curve crosses alpha
stress_explain(): Explain why an alternative analysis moved
stress_direction(): Direction stability of a result that misses significance

stress_plan(): Pre-specify a stress test
standard_plan(): The standard stress test
run_plan(): Run a pre-specified stress test
run_plans(): Run several plans (several endpoints or comparisons) and compare
stress_report(): Write a stress-test report
stress_tables(): Write regulatory-style tables and the census
stress_log(): Write the run log for an audit trail
stress_html(): Interactive HTML report
stress_sap(): Statistical-analysis-plan text for a stress test
mask_ids(): Mask subject identifiers in a census

plot(<stress_census>): Plot a census: one row per family on the percent-of-base axis
plot_swarm(): Swarm of every re-analysis against the filed result
plot_forest(): Forest plot of the filed analysis and the supplementary rows
plot_pcurve(): Plot p-value curves over a continuous perturbation
plot_pstrip(): Strip plot of p-values after each deletion
plot_pcdf(): Empirical distribution of the p-values across a census

stress_design() print(<stress_design>): Size a trial for a robust result
plot(<stress_design>): Plot power and robustness power against the sample size
simulate_trial(): Simulate a two-arm longitudinal trial
simulate_rare_trial(): Simulate a small trial with rare-disease features
stress_calibrate(): Pre-trial calibration of the stress test