Title: Power and Sample Size Based on Two One-Sided t-Tests (TOST) for

Title: Power and Sample Size for (Bio)Equivalence Studies
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.

different methods, amongst them prominently the TOST procedure (two one-sided t-tests).
Suggests: crossdes, knitr, rmarkdown, devtools

Suggests: crossdes, knitr, rmarkdown, devtools, tufte

Suggests: crossdes, knitr, rmarkdown, devtools, tufte, emmeans

different methods, amongst them prominently the TOST procedure (two one-sided
t-tests). See README and NEWS for further information.
Suggests: crossdes, knitr, rmarkdown, tufte, emmeans

Title: Power Analysis Tools for Individual/Cluster Randomized Trials
Statistical power analysis tools for designing individual or cluster randomized trials.
Includes functions to calculate statistical power (1 - type II error), minimum detectable effect size (MDES),
minimum required sample size (MRSS), functions to solve constrained optimal sample allocation (COSA) problems,
and to visualize duo or trio relationships between statistical power, MDES, MRSS, and COSA.

Title: Power Analysis Tools for Multilevel Randomized Experiments
Statistical power analysis tools for designing multilevel randomized experiments.
and to visualize duo or trio relationships between statistical power, MDES, MRSS, and a component of COSA.

person("Metin", "Bulus", email = "bulusmetin@gmail.com", role = c("aut", "cre", "trl")),
R version of PowerUp! <https://www.causalevaluation.org/>. Includes tools to calculate statistical power, minimum detectable effect size, and minimum required sample size for various multilevel randomized experiments with continuous outcomes.
Packaged: 2018-02-16 20:56:28 UTC; Assistant

person("Benjamin", "Kelcey", role = "aut"),
person("Jessaca", "Spybrook", role = "aut")