sprtt: Sequential Probability Ratio Tests: Using t-Statistic

The seq_ttest() function is the implementation of Abraham Wald’s (1947) <doi:10.2134/agronj1947.00021962003900070011x> Sequential Probability Ratio Test (SPRT) for the test of a normal mean (difference) with unknown variance in R (R Core Team, 2018). It performs sequential t tests developed by Rushton (1950) <doi:10.2307/2332385>, Rushton (1952) <doi:10.2307/2334026> and Hajnal (1961) <doi:10.2307/2333131>, based on the SPRT. Specifically, seq_ttest() performs one-sample, two-sample, and paired t tests for testing one- and two-sided hypotheses. The test is to be applied to the data during the sampling process, ideally after each observation. At any stage, it will return a decision to either continue sampling or terminate and accept one of the specified hypotheses. For more information on the SPRT t test, see Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: methods, stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), testthis, dplyr, effsize
Published: 2021-08-06
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: GPL (≥ 3)
URL: https://meikesteinhilber.github.io/sprtt/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: sprtt results

Downloads:

Reference manual: sprtt.pdf
Vignettes: Sequential t-test
How to use the sprtt package
Use Case
Package source: sprtt_0.1.0.tar.gz
Windows binaries: r-devel: sprtt_0.1.0.zip, r-release: sprtt_0.1.0.zip, r-oldrel: sprtt_0.1.0.zip
macOS binaries: r-release (arm64): sprtt_0.1.0.tgz, r-release (x86_64): sprtt_0.1.0.tgz, r-oldrel: sprtt_0.1.0.tgz

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