MSPRT: Modified Sequential Probability Ratio Test (MSPRT)

A modified SPRT (MSPRT) can be designed and implemented with the help of this package. In a MSPRT design, the maximum sample size of an experiment is fixed prior to the start of an experiment, the alternative hypothesis used to define the rejection region of the test is derived from the size of the test (Type I error), the maximum available sample size (N), and the targeted Type 2 error (equal to 1 minus the power) is also prespecified. Given these values, the MSPRT is defined in a manner very similar to Wald's initial proposal. This test can reduce the average sample size required to perform statistical hypothesis tests at the specified levels of significance and power. This package facilitates the carrying out of one sample Z tests, T Tests and tests of binomial success probabilities. A user guidance for this software package is provided here and also in the supplemental information.

Version: 1.0
Imports: nleqslv, ggplot2, foreach, iterators, parallel, doParallel, datasets, graphics, grDevices, methods, stats, utils
Published: 2018-09-17
Author: Sandipan Pramanik [aut, cre], Valen E. Johnson [aut], Anirban Bhattacharya [aut]
Maintainer: Sandipan Pramanik <sandy at stat.tamu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MSPRT results

Downloads:

Reference manual: MSPRT.pdf
Package source: MSPRT_1.0.tar.gz
Windows binaries: r-devel: MSPRT_1.0.zip, r-release: MSPRT_1.0.zip, r-oldrel: MSPRT_1.0.zip
OS X binaries: r-release: MSPRT_1.0.tgz, r-oldrel: MSPRT_1.0.tgz

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