Package index • SimTOST

All functions
`SimTOST-package` `SimTOST`	Sample Size Estimation via Simulation
`as.numeric(<simss_mielke>)`	Coerce a Mielke result to a numeric sample size
`confint(<countpower>)` `confint(<countss>)`	Extract the Monte Carlo confidence interval from count power results
`confint(<simpower>)`	Extract the Monte Carlo confidence interval from fixed-sample-size power results
`confint(<simss>)`	Confidence Interval for Achieved Power from simss object
`.plot_correlation()`	Plot simulated endpoint correlations
`.power_count_joint_serial()`	Estimate joint power for correlated count endpoints and multiple comparisons
`.power_count_serial()`	Estimate power for count-rate equivalence
`get_par()`	Parameter Configuration for Endpoints and Comparators
`plot(<countpower>)`	Plot count-outcome power results
`plot(<countss>)`	Plot count-outcome sample-size results
`plot(<simpower>)`	Plot fixed-sample-size power results
`plot(<simpower_curve>)`	Plot fixed-sample-size power results
`plot(<simss>)`	Plot Power vs Sample Size for Simulation Results
`plot(<type1error>)`	Plot empirical Type I error
`plot(<type1error_joint>)`	Plot joint Type I error scenarios
`plot_decision_heatmap()`	Plot simulated decision heatmaps
`plot_distribution()`	Plot distributions of retained simulated observations
`plot_mc_error()`	Plot Monte Carlo error
`plot_stability()`	Plot simulation stability
`power_dom()`	Power Calculation for Difference of Means (DOM) Hypothesis Test
`print(<countpower>)`	Print count-outcome power results
`print(<countss>)`	Print count-outcome sample-size results
`print(<simpower>)`	Print fixed-sample-size power results
`print(<simss>)`	Print Summary of Sample Size Estimation
`print(<simss_mielke>)`	Print a Mielke sample-size result
`run_simulations()`	Run a design-specific simulation
`run_simulations_2x2_dom()`	Run Simulations for a 2x2 Crossover Design with Difference of Means (DOM) test
`run_simulations_2x2_rom()`	Run Simulations for a 2x2 Crossover Design with Ratio of Means (ROM) test
`run_simulations_par_dom()`	Run Simulations for a Parallel Design with Difference of Means (DOM) test
`run_simulations_par_rom()`	Run Simulations for a Parallel Design with Ratio of Means (ROM) test
`sampleSize()`	Sample Size Calculation for Bioequivalence and Multi-Endpoint Studies
`sampleSize_Mielke()`	Sample Size Estimation for Multiple Hypothesis Testing Using Mielke's Method
`sampleSize_count()`	Estimate sample size for count-rate equivalence
`sampleSize_count_joint()`	Estimate sample size for joint correlated count equivalence
`simParallelEndpoints()`	Generate Simulated Endpoint Data for Parallel Group Design
`simPower()`	Estimate power at a fixed sample size
`[`(<simss_mielke>)	Preserve named-vector indexing for legacy Mielke examples
`summary(<countpower>)`	Summarize count-outcome power results
`summary(<countss>)`	Summary for Count Sample-Size Results
`summary(<simpower>)`	Summarize fixed-sample-size power results
`summary(<simss>)`	Summary for Simulation Results
`test_2x2_dom()`	Simulate a 2x2 Crossover Design and Compute Difference of Means (DOM)
`test_2x2_rom()`	Simulate a 2x2 Crossover Design and Compute Ratio of Means (ROM)
`test_par_dom()`	Simulate a Parallel Design and Test Difference of Means (DOM)
`test_par_rom()`	Simulate a Parallel Design and Test Ratio of Means (ROM)
`type1Error()`	Empirical Type I Error at the Least-Favorable Null
`update(<countpower>)`	Update a standalone count power calculation
`update(<countss>)`	Update a standalone count sample-size calculation
`update(<simpower>)`	Update a SimTOST fixed-sample-size power calculation
`update(<simss>)`	Update a SimTOST sample-size calculation

Reference

All functions