Package: RTSA
Type: Package
Title: 'Trial Sequential Analysis' for Error Control and Inference in
        Sequential Meta-Analyses
Authors@R: c(
    person(given = "Anne", family = "Lyngholm Soerensen", email = "lynganne@gmail.com", role = c('aut', 'cre', 'trl')),
    person(given = "Markus", family = "Harboe Olsen", email = "markus.harboe.olsen@regionh.dk", role = c('aut', 'ctr')),
    person(given ="Theis", family ="Lange", email = "thlan@sund.ku.dk", role = c('ctr')),
    person(given ="Christian", family ="Gluud", email = "christian.gluud@ctu.dk", role = c('ctr')))
Version: 0.2.2
Description: Frequentist sequential meta-analysis based on 
    'Trial Sequential Analysis' (TSA) in programmed in Java by the Copenhagen 
    Trial Unit (CTU). The primary function is the calculation of group 
    sequential designs for meta-analysis to be used for planning and analysis of
    both prospective and retrospective sequential meta-analyses to preserve 
    type-I-error control under sequential testing. 'RTSA' includes tools for 
    sample size and trial size calculation for meta-analysis and core 
    meta-analyses methods such as fixed-effect and random-effects models and
    forest plots. TSA is described in Wetterslev et. al (2008) 
    <doi:10.1016/j.jclinepi.2007.03.013>. The methods for deriving the
    group sequential designs are based on Jennison and Turnbull (1999,
    ISBN:9780849303166).
License: GPL (>= 2)
URL: https://github.com/AnneLyng/RTSA
BugReports: https://github.com/AnneLyng/RTSA/issues
Imports: stats, metafor, ggplot2, scales, Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
RoxygenNote: 7.2.3
Suggests: gsDesign, CompQuadForm, dplyr, kableExtra, rmarkdown, knitr,
        bookdown, gridExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr, bookdown
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2023-11-22 15:32:59 UTC; anne
Author: Anne Lyngholm Soerensen [aut, cre, trl],
  Markus Harboe Olsen [aut, ctr],
  Theis Lange [ctr],
  Christian Gluud [ctr]
Maintainer: Anne Lyngholm Soerensen <lynganne@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-23 08:50:10 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-06-04 03:04:31 UTC; windows
Archs: x64
