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sprtt: Sequential Probability Ratio Tests Toolbox

It is a toolbox for Sequential Probability Ratio Tests (SPRT), Wald (1945) <doi:10.2134/agronj1947.00021962003900070011x>. SPRTs are applied to the data during the sampling process, ideally after each observation. At any stage, the test will return a decision to either continue sampling or terminate and accept one of the specified hypotheses. The seq_ttest() function performs one-sample, two-sample, and paired t-tests for testing one- and two-sided hypotheses (Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>). The seq_anova() function allows to perform a sequential one-way fixed effects ANOVA (Steinhilber et al. (2023) <doi:10.31234/osf.io/m64ne>). Learn more about the package by using vignettes "browseVignettes(package = "sprtt")" or go to the website <https://meikesteinhilber.github.io/sprtt/>.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: methods, stats, dplyr, MBESS, purrr, glue, ggplot2, lifecycle
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), testthis, effsize, effectsize, vdiffr
Published: 2023-07-06
DOI: 10.32614/CRAN.package.sprtt
Author: Meike Steinhilber ORCID iD [aut, cre], Martin Schnuerch ORCID iD [aut, ths], Anna-Lena Schubert ORCID iD [aut, ths]
Maintainer: Meike Steinhilber <Meike.Steinhilber at aol.com>
BugReports: https://github.com/MeikeSteinhilber/sprtt/issues
License: AGPL (≥ 3)
URL: https://meikesteinhilber.github.io/sprtt/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: sprtt results

Documentation:

Reference manual: sprtt.pdf
Vignettes: Sequential One-Way ANOVA
SPRTs
Sequential t-Test
How to use the sprtt package
Use Case

Downloads:

Package source: sprtt_0.2.0.tar.gz
Windows binaries: r-devel: sprtt_0.2.0.zip, r-release: sprtt_0.2.0.zip, r-oldrel: sprtt_0.2.0.zip
macOS binaries: r-release (arm64): sprtt_0.2.0.tgz, r-oldrel (arm64): sprtt_0.2.0.tgz, r-release (x86_64): sprtt_0.2.0.tgz, r-oldrel (x86_64): sprtt_0.2.0.tgz
Old sources: sprtt 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.