various study designs used for bioequivalence studies.  See
function known.designs() for study designs covered.  Moreover
variability.  Added are functions for the power and sample size

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).

Package: PowerTOST
Type: Package
Title: Power and Sample size based on two one-sided t-tests (TOST) for
(bio)equivalence studies
Version: 0.9-10
Date: 2012-07-20
Author: Detlew Labes
Maintainer: D. Labes <DetlewLabes@gmx.de>
Description: 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.
Depends: stats, mvtnorm
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2012-07-20 06:00:22 UTC; dlabes
Repository: CRAN
Date/Publication: 2012-07-20 06:14:34

Package: PowerTOST
Type: Package
Title: Power and Sample size based on two one-sided t-tests (TOST) for
(bio)equivalence studies
Version: 0.9-11
Date: 2012-08-07
Author: Detlew Labes
Maintainer: D. Labes <DetlewLabes@gmx.de>
Description: 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.
Depends: stats, mvtnorm
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2012-08-07 06:43:09 UTC; dlabes
Repository: CRAN
Date/Publication: 2012-08-07 07:05:37