DESCRIPTION

Package: SimTOST
Title: Sample size estimation for bioequivalence trials through simulation
Version: 0.3.0
Authors@R: c(
    person(given = "Thomas", 
           family = "Debray", 
           email = "tdebray@fromdatatowisdom.com", 
           role = c("aut", "cre"),
           comment= c(ORCID = "0000-0002-1790-2719")),
    person(given = "Johanna", 
           family = "Muñoz", 
           email = "johanna.munoz@fromdatatowisdom.com", 
           role = c("aut")),
    person(given = "Dewi",
           family = "Amaliah",
           email = "dewi.amaliah@fromdatatowisdom.com",
           role = c("aut")),
    person(given = "Wei",
           family = "Wei",
           email = "wei.wei@biogen.com",
           role = c("ctb")),
    person(given = "Marian",
           family = "Mitroiu",
           email = "marian.mitroiu@biogen.com",
           role = c("ctb")),
    person("Biogen Inc", role = c("cph", "fnd"))
    )
Description: SimTOST is an R package designed for bioequivalence studies, providing simulation-based sample size estimation for the Two One-Sided Tests (TOST) procedure. With flexible options for testing multiple hypotheses, treatments, and correlated endpoints, SimTOST enables robust planning of bioequivalence trials by accommodating complex study designs.
License: Apache License 2.0
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: 
    MASS,
    matrixcalc,
    parallel,
    data.table,
    Rcpp (>= 1.0.13)
Suggests: 
    knitr,
    rmarkdown,
    testthat (>= 3.0.0),
    tinytest,
    ggplot2,
    kableExtra,
    tibble,
    PowerTOST
VignetteBuilder: knitr
Config/testthat/edition: 3
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/smartdata-analysis-and-statistics/SimTOST,
https: //smartdata-analysis-and-statistics.github.io/SimTOST/