Power of Interrupted Time Series (ITS) Studies

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Documentation for package ‘PITS’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

PITS-package	PITS: Power of Interrupted Time Series studies
build_param_grid	Build a factorial parameter grid for power calculations
calculate_power	Estimate statistical power for a single-site ITS design
calculate_power_multi	Estimate statistical power for a multi-site ITS design
diagnose_params	Diagnostic plots for pre-intervention data
estimate_and_calculate	Estimate parameters and calculate power in one step
estimate_baseline	Estimate baseline outcome from pre-intervention data
estimate_its_params	Estimate all ITS nuisance parameters from pre-intervention data
estimate_rho	Estimate AR(1) autocorrelation from pre-intervention data
estimate_sigma	Estimate residual standard deviation from pre-intervention data
estimate_trend	Estimate pre-intervention trend from pre-intervention data
example_cfr_data	Example pre-intervention case fatality rate data
export_results	Export PITS results to CSV and plain-text summary
fit_its_model	Fit a segmented regression model to an ITS dataset
interpret_power	Interpret a power estimate qualitatively
PITS	PITS: Power of Interrupted Time Series studies
plot_its_example	Plot a simulated ITS example
plot_power_curve	Plot power as a function of post-intervention duration
plot_power_heatmap	Plot a power heatmap across two parameters
power_sweep	Design optimisation sweep: power across a range of n_post values
print.pits_power_result	Print method for PITS power results
print.pits_sweep_result	Print method for PITS sweep results
run_its_power	Full single-site ITS power workflow
run_power_grid	Run power calculations across a parameter grid
simulate_its_data	Simulate a single ITS dataset
simulate_predata	Generate synthetic pre-intervention data
summary.pits_power_result	Summary method for PITS power results
validate_params	Validate ITS parameter values before simulation