The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| DOI: | 10.32614/CRAN.package.MSPRT |
| 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 |
| 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-oldrel (arm64): MSPRT_3.0.tgz, r-release (x86_64): MSPRT_3.0.tgz, r-oldrel (x86_64): MSPRT_3.0.tgz |
| Old sources: | MSPRT archive |
Please use the canonical form https://CRAN.R-project.org/package=MSPRT to link to this page.
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.
Health stats visible at Monitor.