Sequential Probability Ratio Tests: Using t-Statistic

The seq_ttest() function is the implementation of Abraham Wald’s (1947) 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) , Rushton (1952) and Hajnal (1961) , 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) .


Reference manual

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0.1.0 by Meike Steinhilber, 6 months ago

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Authors: Meike Steinhilber [aut, cre] , Martin Schnuerch [aut, ths] , Anna-Lena Schubert [aut, ths]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports methods, stats

Suggests knitr, rmarkdown, testthat, testthis, dplyr, effsize

See at CRAN