DESCRIPTION

Package: wpgsd
Title: Weighted Parametric Group Sequential Design
Version: 0.1.0
Authors@R: c(
    person("Keaven", "Anderson", email = "keaven_anderson@merck.com", role = "aut"),
    person("Zifang", "Guo", email = "zifang.guo@merck.com", role = "aut"),
    person("Jing", "Zhao", email = "jing_zhaox@merck.com", role = "aut"),
    person("Linda", "Sun", email = "linda_sun@merck.com", role = "aut"),
    person("Yi", "Cui", email = "yi.cui@merck.com", role = "aut"),
    person("Yujie", "Zhao", email = "yujie.zhao@merck.com", role = c("aut", "cre")),
    person("Larry", "Leon", email = "larry.leon2@merck.com", role = "aut"),
    person("Merck Sharp & Dohme Corp", role = c("cph"))
    )
Description: Adjusted inference for weighted parametric group sequential design.
  Weighted parametric group sequential design (WPGSD) by Anderson et al. (2022)
  <doi:10.1002/bimj.202100085> allows one to take advantage of the known
  correlation structure in constructing efficacy bounds to control
  family-wise error rate (FWER) for a group sequential design.
  Here, correlation may be due to common observations in nested populations,
  due to common observations in overlapping populations, or due to common
  observations in the control arm.
License: GPL (>= 3)
URL: https://merck.github.io/wpgsd/, https://github.com/Merck/wpgsd
BugReports: https://github.com/Merck/wpgsd/issues
Encoding: UTF-8
Depends:
    R (>= 3.6)
Imports:
    dplyr,
    gMCPLite,
    gsDesign,
    mvtnorm,
    rlang (>= 0.4.11),
    stats,
    tibble,
    tidyselect
Suggests:
    covr,
    gt,
    haven,
    knitr,
    reshape2,
    rmarkdown,
    roxygen2,
    testthat (>= 3.0.0),
    tidyr
VignetteBuilder:
    knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1