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deltatest: Statistical Hypothesis Testing Using the Delta Method

Statistical hypothesis testing using the Delta method as proposed by Deng et al. (2018) <doi:10.1145/3219819.3219919>. This method replaces the standard variance estimation formula in the Z-test with an approximate formula derived via the Delta method, which can account for within-user correlation.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: broom, glue, R6 (≥ 2.6.1), rlang, stats, tibble
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-03-09
DOI: 10.32614/CRAN.package.deltatest
Author: Koji Makiyama [aut, cre, cph], Kazuyuki Sano [ctb, wdc], Shinichi Takayanagi [med], Daisuke Ichikawa [exp], LY Corporation Analytics Solution Enhancement Team [spn]
Maintainer: Koji Makiyama <hoxo.smile at gmail.com>
BugReports: https://github.com/hoxo-m/deltatest/issues
License: MIT + file LICENSE
URL: https://github.com/hoxo-m/deltatest, https://hoxo-m.github.io/deltatest/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: deltatest results

Documentation:

Reference manual: deltatest.html , deltatest.pdf

Downloads:

Package source: deltatest_0.2.0.tar.gz
Windows binaries: r-devel: deltatest_0.2.0.zip, r-release: deltatest_0.1.0.zip, r-oldrel: deltatest_0.1.0.zip
macOS binaries: r-release (arm64): deltatest_0.2.0.tgz, r-oldrel (arm64): deltatest_0.2.0.tgz, r-release (x86_64): deltatest_0.2.0.tgz, r-oldrel (x86_64): deltatest_0.2.0.tgz
Old sources: deltatest archive

Linking:

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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.