MSPRT: A Modified Sequential Probability Ratio Test (MSPRT)

Given the maximum available sample size (N) for an experiment, and the target levels of Type I and II error probabilities, this package designs a modified SPRT (MSPRT). For any designed MSPRT the package can also obtain its operating characteristics and implement the test for a given sequentially observed data. The MSPRT is defined in a manner very similar to Wald's initial proposal. The proposed test has shown evidence of reducing the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Currently, the package implements one-sample proportion tests, one and two-sample z tests, and one and two-sample t tests. A brief user guidance for this package is provided below. One can also refer to the supplemental information for the same.

Version: 3.0
Imports: nleqslv, ggplot2, ggpubr, foreach, iterators, parallel, doParallel, datasets, graphics, grDevices, methods, stats, utils
Published: 2020-11-13
Author: Sandipan Pramanik [aut, cre], Valen E. Johnson [aut], Anirban Bhattacharya [aut]
Maintainer: Sandipan Pramanik <sandy.pramanik at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MSPRT results

Downloads:

Reference manual: MSPRT.pdf
Package source: MSPRT_3.0.tar.gz
Windows binaries: r-devel: MSPRT_3.0.zip, r-release: MSPRT_3.0.zip, r-oldrel: MSPRT_3.0.zip
macOS binaries: r-release (arm64): MSPRT_3.0.tgz, r-release (x86_64): MSPRT_3.0.tgz, r-oldrel: MSPRT_3.0.tgz
Old sources: MSPRT archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MSPRT to link to this page.