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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
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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RTSA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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