Package: PowerTOST
Type: Package
Title: Power and Sample size based on two one-sided t-tests (TOST) for
(bio)equivalence studies
Version: 1.1-05
Date: 2013-06-17
Authors@R: c(person("Detlew", "Labes", role = c("aut","cre"), email =
"DetlewLabes@gmx.de"))
Author: Detlew Labes
Maintainer: Detlew 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.  ----- Contains
functions power.scABEL() and sampleN.scABEL() to calculate
power and sample size for the BE decision via scaled (widened)
BE acceptance limits based on simulations.  Contains 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.
Depends: mvtnorm
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2013-06-17 09:19:40 UTC; dlabes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-17 11:54:53

Package: PowerTOST
Type: Package
Title: Power and Sample size based on two one-sided t-tests (TOST) for
(bio)equivalence studies
Version: 1.1-06
Date: 2013-06-21
Authors@R: c(person("Detlew", "Labes", role = c("aut","cre"), email =
"DetlewLabes@gmx.de"))
Author: Detlew Labes
Maintainer: Detlew 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.  ----- Contains
functions power.scABEL() and sampleN.scABEL() to calculate
power and sample size for the BE decision via scaled (widened)
BE acceptance limits based on simulations.  Contains 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.
Depends: mvtnorm
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2013-06-21 09:07:52 UTC; dlabes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-21 11:21:13