Package: gst 0.4.0

Xiao Ni

gst: Global Statistical Tests for Multiple Endpoints

Design and evaluate global statistical tests (GST) that combine several endpoints into one test, including O'Brien's ordinary and generalized least squares tests (O'Brien (1984) <doi:10.2307/2531158>), power and sample size calculations, and an O'Brien-based truncated closed testing procedure (Luo et al. (2025) <doi:10.1002/pst.70010>). Two 'shiny' applications support interactive power calculation and the creation of forest plots for multiple endpoints from summary statistics.

Authors:Lerong Li [aut, led], Anthony Pileggi [aut], Xiaolong Luo [aut], Xiao Ni [aut, cre], Sarepta Therapeutics Inc. [cph, fnd], Stephen Knapp [ctb], Preston Burns [ctb]

gst_0.4.0.tar.gz
gst_0.4.0.zip(r-4.7-any)gst_0.4.0.zip(r-4.6-any)
gst_0.4.0.tar.gz(r-4.7-any)gst_0.4.0.tar.gz(r-4.6-any)
gst_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gst/json (API)

# Install 'gst' in R:
install.packages('gst', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xni7/gst/issues

Pkgdown/docs site:https://xni7.github.io

On CRAN:

Conda:

3.30 score 5 scripts 14 exports 110 dependencies

Last updated from:d85276b3ae. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK182
source / vignettesOK208
linux-releaseOK168
windows-develOK226
windows-releaseOK119
wasm-releaseOK117

Exports:%>%cor_csforest_dataforest_plotforest_reprexget_nget_oesget_powergst_power_appmake_forestplot_appobrienobrien_plusobtsim_power

Dependencies:askpassassertthatbackportsbase64encbitbit64bsiconsbslibcachemcheckmateclicliprcodetoolscommonmarkcpp11crayoncrosstalkcurldata.tabledatapastadigestdplyrDTevaluatefarverfastmapfontawesomeforestploterfsgenericsggplot2gluegridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallearnrlifecyclelitedownmagrittrmarkdownMASSMatrixmemoisemimemultcompmvtnormopensslotelpillarpkgconfigplotlyprettyunitsprogresspromisespurrrpwrR6rappdirsrclipboardRColorBrewerRcppreactablereactRreadrrenvrhandsontablerlangrmarkdownrprojrootrstudioapiS7sandwichsassscalesshinyshinyWidgetssortablesourcetoolsstringistringrsurvivalsysTH.datatibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtableyamlzoo

GST Power App
Power Calculation | Step 1: Set number of endpoints (m) | Step 2: Enter effect size | Step 3: Enter correlation matrix, only upper triangular needed | Step 4: Enter other assumptions | Step 5: Calculate | Sample Size Calculation | Operating Effect Size | Power | P-value Combination | Sample Size | References
Rendered fromgst_power_app.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07

Make Forestplot App
Input Data | Manual Entry (using rhandsontable) | Custom Columns | Upload CSV | Preview | Plot Options | Features | LSMean scaling | Favorable Direction | Dynamic Resizing | Exports | Extending Functionality
Rendered fromforestplot.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07

O'Brien's Test
Background | Examples | Example 1 - OLS with equal variances | Example 2 - GLS with equal variances | Example 3 - Ranksum with equal variances | Example 4 - All Endpoints, All Methods | Additional Considerations
Rendered fromobrien.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07

Reference for gst package
Operational Effect Size | Ordinary Least Squares (OLS) | Generalized Least Squares (GLS) | Type I Error | Equal $n$ and $df = 2n-2$ | General Case | P-value Combination | Fisher's Method (1932) | Stouffer's Method (1949) | Adjustment of dependence | Reference
Rendered fromreference.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07