PowerTOSTinternal

.approx.power.TOST

.approx2.power.TOST

.calc.power

.design.no

.design.props

.exppower.TOST

.expsampleN0

.power.inf

.power.TOST

.power.RatioF

.Q.integrand

.sampleN0

.sampleN0.inf

.sampleN0.RatioF

Internal PowerTOST objects: .approx.power.TOST: approximate power using non-central t-distribution.approx2.power.TOST: approximate power using central 'shifted' t-distribution.calc.power: calls the appropriate raw power function according to method
.design.no: no of design from design literal.design.props: design properties (df, bk, step, name).exppower.TOST: expected power.expsampleN0: start value of n for sample size based on exp. power..power.inf: power of non-inferiority test (working horse).power.TOST: power of classical TOST (working horse).power.scABEL: working horse for the power via scaled ABEL by simulations.power.RatioF: power of ratio of means with normal data on original scale (working horse).Q.integrand: Integrand for Owen's Q function .sampleN0: Start value of sample size.sampleN0.inf: Start value of sample size for the non-inferiority case.sampleN0.RatioF: Start value of sample size for ratio of means with normal data 
on original scale

internal

PowerTOST-internal

Contains functions to calculate power and sample size for
    various study designs used for bioequivalence studies. 
    See function known.designs() for study designs covered. 
    Moreover the package contains functions for power and sample size 
    based on 'expected' power in case of uncertain (estimated) variability.
    -----
    Added are functions for the power and sample size for the ratio of 
    two means with normally distributed data on the original scale 
    (based on Fieller's confidence ('fiducial') interval).
    -----
    Contains further functions for power and sample size calculations based on
    non-inferiority t-test. This is not a TOST procedure but eventually useful 
    if the question of 'non-superiority' must be evaluated.
    The power and sample size calculations based on non-inferiority test may 
    also performed via 'expected' power in case of uncertain (estimated) 
    variability.
    -----
    Contains functions power.scABEL() and sampleN.scABEL() to calculate power 
    and sample size for the BE decision via scaled (widened) BE acceptance 
    limits (EMA recommended) based on simulations.
    Contains further functions power.RSABE() and sampleN.RSABE() to calculate 
    power and sample size for the BE decision via reference scaled ABE criterion 
    according to the FDA procedure based on simulations.
    Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate 
    power and sample size for the BE decision via the FDA procedure for NTID's 
    based on simulations.
    -----
    Contains functions for power analysis of a sample size plan for ABE 
    (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA())
    analysing power if deviating from assumptions of the plan.
    -----
    Contains further functions for power calculations / sample size estimation
    for dose proportionality studies using the Power model.    

D. Labes

PowerTOST

Power and Sample Size Based on Two One-Sided t-Tests (TOST) for
        (Bio)Equivalence Studies

PowerTOST-internal function

Internal PowerTOST objects

PowerTOST-internal: Internal PowerTOST objects

Description

Arguments

Details