RTSA: 'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses

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).

Version: 0.2.2
Depends: R (≥ 3.5.0)
Imports: stats, metafor, ggplot2, scales, Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: gsDesign, CompQuadForm, dplyr, kableExtra, rmarkdown, knitr, bookdown, gridExtra, testthat (≥ 3.0.0)
Published: 2023-11-23
DOI: 10.32614/CRAN.package.RTSA
Author: Anne Lyngholm Soerensen [aut, cre, trl], Markus Harboe Olsen [aut, ctr], Theis Lange [ctr], Christian Gluud [ctr]
Maintainer: Anne Lyngholm Soerensen <lynganne at gmail.com>
BugReports: https://github.com/AnneLyng/RTSA/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/AnneLyng/RTSA
NeedsCompilation: yes
Materials: README
In views: MetaAnalysis
CRAN checks: RTSA results


Reference manual: RTSA.pdf
Vignettes: RTSA - Standard operational protocol
Rtsa manual
Futility boundaries in RTSA
Prospective and retrospective sequential meta-analysis
Calculating required sample size and required number of trials


Package source: RTSA_0.2.2.tar.gz
Windows binaries: r-devel: RTSA_0.2.2.zip, r-release: RTSA_0.2.2.zip, r-oldrel: RTSA_0.2.2.zip
macOS binaries: r-release (arm64): RTSA_0.2.2.tgz, r-oldrel (arm64): RTSA_0.2.2.tgz, r-release (x86_64): RTSA_0.2.2.tgz, r-oldrel (x86_64): RTSA_0.2.2.tgz
Old sources: RTSA archive


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