wstdiff: Welch-Satterthwaite Approximation for t-Distribution Differences

Implements the Welch-Satterthwaite approximation for differences of non-standardized t-distributed random variables in both univariate and multivariate settings. The package provides methods for computing effective degrees of freedom and scale parameters, as well as distribution functions for the approximated difference distribution. The methodology extends the classical Welch-Satterthwaite framework from variance combinations to t-distribution differences through careful moment matching. Methods build on the classical Welch-Satterthwaite approach described in Welch (1947) <doi:10.1093/biomet/34.1-2.28> and Satterthwaite (1946) <doi:10.2307/3002019>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats
Suggests: testthat (≥ 3.0.0), mvtnorm, knitr, rmarkdown
Published: 2025-11-11
DOI: 10.32614/CRAN.package.wstdiff (may not be active yet)
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: wstdiff results

Documentation:

Reference manual: wstdiff.html , wstdiff.pdf
Vignettes: Introduction to wstdiff (source, R code)

Downloads:

Package source: wstdiff_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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