Overview | Theoretical Background | Derivation of Decision Boundaries | Why these thresholds? | Example 1: Binomial Data
Package: SPRT 1.1.0
Huchesh Budihal
SPRT: Sequential Probability Ratio Test (SPRT) Method
Provides functions to perform the Sequential Probability Ratio Test (SPRT) for hypothesis testing in Binomial, Poisson and Normal distributions. The package allows users to specify Type I and Type II error probabilities, decision thresholds, and compare null and alternative hypotheses sequentially as data accumulate. It includes visualization tools for plotting the likelihood ratio path and decision boundaries, making it easier to interpret results. The methods are based on Wald (1945) <doi:10.1214/aoms/1177731118>, who introduced the SPRT as one of the earliest and most powerful sequential analysis techniques. This package is useful in quality control, clinical trials, and other applications requiring early decision-making.The term 'SPRT' is an abbreviation and used intentionally.
Authors:
SPRT_1.1.0.tar.gz
SPRT_1.1.0.tar.gz(r-4.7-any)SPRT_1.1.0.tar.gz(r-4.6-any)
SPRT_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SPRT/json (API)
| # Install 'SPRT' in R: |
| install.packages('SPRT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a30409cf0e. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 187 | ||
| linux-release-x86_64 | OK | 122 | ||
| wasm-release | OK | 107 |
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sequential Probability Ratio Test (SPRT) | sprt |
| Plot SPRT results | sprt_plot |