Package: bsgof 0.24.1
Chanseok Park
bsgof: Birnbaum-Saunders Goodness-of-Fit Test
Performs goodness-of-fit test for the Birnbaum-Saunders distribution and provides the maximum likelihood estimate and the method-of-moments estimate. For more details, see Park and Wang (2013) <arxiv:2308.10150>. This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).
Authors:
bsgof_0.24.1.tar.gz
bsgof_0.24.1.zip(r-4.5)bsgof_0.24.1.zip(r-4.4)bsgof_0.24.1.zip(r-4.3)
bsgof_0.24.1.tgz(r-4.4-any)bsgof_0.24.1.tgz(r-4.3-any)
bsgof_0.24.1.tar.gz(r-4.5-noble)bsgof_0.24.1.tar.gz(r-4.4-noble)
bsgof_0.24.1.tgz(r-4.4-emscripten)bsgof_0.24.1.tgz(r-4.3-emscripten)
bsgof.pdf |bsgof.html✨
bsgof/json (API)
| # Install 'bsgof' in R: |
| install.packages('bsgof', repos = c('https://appliedstat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/appliedstat/r/issues
- BSdata - Data set
- bs.plot.quantiles - Quantile values of Birnbaum-Saunders distribution
control-chartgoodness-of-fitr-languageweibull
Last updated 11 months agofrom:bd34801eaf. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:bs.mlebs.mmebs.plotbs.testbs.test.criticalbs.test.pvaluedbspbsprint.bs.estimateprint.bs.test.critical.valueqbsrbs
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Birnbaum-Saunders distribution | BS dbs pbs qbs rbs |
| Maximum likelihood estimates of Birnbaum-Saunders distribution | bs.mle |
| Methof-of-moments estimates of Birnbaum-Saunders distribution | bs.mme |
| Birnbaum-Saunders Probability Plot | bs.plot |
| Quantile values of Birnbaum-Saunders distribution | bs.plot.quantiles |
| The Birnbaum-Saunders goodness-of-fit test from the probability plot | bs.test bs.test.critical bs.test.pvalue bsgof |
| Data set | bearings BSdata fatigue psi21k psi26k psi31k repair |
| Print the estimated values | print.bs.estimate |
| Print the critical value for bs.test | print.bs.test.critical.value |
