of 2-stage BE studies with a 2x2 crossover design according to
Potvin et.al. / Montague et. al. modified to include a futility Nmax
The fourth function calculates power of non-adaptive group

The fifth function calculates power and sample size distribution
of 2-stage BE studies in 2 parallel groups.

Description: Contains a function to calculate power and sample size distribution
Potvin et al. / Montague et al. modified to include a futility Nmax
of stage 1. Contains further a function with the modifications
according to Karalis & Macheras which use PE and mse from stage 1
The third function power.2stage.fC() calculates power and sample
size distribution of 2-stage BE studies with a futility criterion
for the point estimator or CI of T/R from stage 1.
The fourth function power.2stage.GS() calculates power of non-adaptive
The fifth function power.2stage.p() calculates power and sample size
distribution of 2-stage BE studies with 2 parallel groups.

Title: Power and Sample-size Distribution of 2-stage Bioequivalence
Description: - Contains a function to calculate power and sample-size distribution
of 2-stage bioequivalence (BE) studies with a 2x2 crossover design
according to Potvin et al. / Montague et al. modified to include a
futility Nmax and modified to do the sample size estimation step
- Contains further a function with the modifications according to
Karalis & Macheras which use PE and mse from stage 1 also for the
- The third function power.2stage.fC() calculates power and sample
- The fourth function power.2stage.GS() calculates power of non-adaptive
- The fifth function power.2stage.p() calculates power and sample size
- Another function power.2stage.ssr() allows the power calculation
for 2-stage studies with (blinded) interim sample size re-estimation.
All the functions use simulations to obtain their results.

Title: Power and Sample-Size Distribution of 2-Stage Bioequivalence
Description: Functions to obtain the operational characteristics of
bioequivalence studies with 2-stage designs via simulations
- Contains a function to calculate power and sample-size distribution
Karalis & Macheras which use both point estimate (PE) and mse from stage 1
- The third function power.2stage.fC() calculates power and sample-size
distribution of 2-stage BE studies with a futility criterion
This function has a sibling power.2stage.pAF(), which performs exactly as