c(person("Detlew", "Labes", role = c("aut","cre"), email =
"DetlewLabes@gmx.de"),
person("Helmut", "Schuetz", role = c("aut"), email =
"helmut.schuetz@bebac.at"),
person("Benjamin", "Lang", role =c ("aut"), email =
"BenjaminL@gmx.de"))
Detlew Labes [aut, cre],
Helmut Schuetz [aut],
Benjamin Lang [aut]

mvtnorm, stats, utils, graphics, grDevices, cubature

mvtnorm, stats, utils, graphics, grDevices, cubature (>=
1.3-6), TeachingDemos

Power and Sample Size for (Bio)Equivalence Studies
c(person("Detlew", "Labes",
role = c("aut","cre"),
email = "DetlewLabes@gmx.de",
comment = c(ORCID = "0000-0003-2169-426X")),
person("Helmut", "Schütz",
role = c("aut"),
email = "helmut.schuetz@bebac.at",
comment = c(ORCID = "0000-0002-1167-7880")),
person("Benjamin", "Lang",
role = c("aut"),
email ="lang.be@icloud.com"))
Detlew Labes [aut, cre] (<https://orcid.org/0000-0003-2169-426X>),
Helmut Schütz [aut] (<https://orcid.org/0000-0002-1167-7880>),
Benjamin Lang [aut]
Contains functions to calculate power and sample size for
various study designs used in bioequivalence studies. Use known.designs() to
see the designs supported. Power and sample size can be obtained based on
different methods, among them prominently the TOST procedure (two-onesided-t-tests).
See README and NEWS for further information.

Contains functions to calculate power and sample size for
various study designs used in bioequivalence studies. Use known.designs() to
see the designs supported. Power and sample size can be obtained based on
different methods, amongst them prominently the TOST procedure (two one-sided t-tests).
See README and NEWS for further information.
mvtnorm, stats, utils, graphics, grDevices, cubature (>=
1.3-6), TeachingDemos, tufte

crossdes, knitr, rmarkdown, devtools, tufte

crossdes, knitr, rmarkdown, devtools, tufte, emmeans

Contains functions to calculate power and sample size for
various study designs used in bioequivalence studies. Use known.designs() to
see the designs supported. Power and sample size can be obtained based on
different methods, amongst them prominently the TOST procedure (two one-sided
t-tests). See README and NEWS for further information.
crossdes, knitr, rmarkdown, tufte, emmeans