R: Sample Size Estimation for Bio-Equivalence Trials Through Simulation

# Sample Size Estimation for Bio-Equivalence Trials Through Simulation

## Documentation for package ‘SimTOST’ version 1.0.2

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

## Help Pages

SimTOST-package | Sample Size Estimation via Simulation
get_par | Parameter Configuration for Endpoints and Comparators
plot.simss | Plot Power vs Sample Size for Simulation Results
power_dom | Power Calculation for Difference of Means (DOM) Hypothesis Test
print.simss | Print Summary of Sample Size Estimation
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
simParallelEndpoints | Generate Simulated Endpoint Data for Parallel Group Design
SimTOST | Sample Size Estimation via Simulation
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)