Package: seqtest 0.1-0
Takuya Yanagida
seqtest: Sequential Triangular Test
Sequential triangular test for the arithmetic mean in one- and two- samples, proportions in one- and two-samples, and the Pearson's correlation coefficient.
Authors:
seqtest_0.1-0.tar.gz
seqtest_0.1-0.tar.gz(r-4.5-noble)seqtest_0.1-0.tar.gz(r-4.4-noble)
seqtest_0.1-0.tgz(r-4.4-emscripten)seqtest_0.1-0.tgz(r-4.3-emscripten)
seqtest.pdf |seqtest.html✨
seqtest/json (API)
# Install 'seqtest' in R: |
install.packages('seqtest', 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 9 years agofrom:29e1bbbe5f. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux | OK | Dec 07 2024 |
Exports:descriptseqtest.corseqtest.meanseqtest.propsim.seqtest.corsize.corsize.meansize.prop
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Print descriptive statistics | descript |
Plot seqtest | plot.seqtest |
Plot sim.seqtest | plot.sim.seqtest.cor |
Print seqtest | print.seqtest |
Print sim.seqtest | print.sim.seqtest.cor |
Print size object | print.size |
Sequential triangular test for Pearson's correlation coefficient | seqtest.cor |
Sequential triangular test for the arithmetic mean | seqtest.mean |
Sequential triangular test for the proportion | seqtest.prop |
Simulation of the sequential triangular test for Pearson's correlation coefficient | sim.seqtest.cor |
Sample size determination for testing Pearson's correlation coefficient | size.cor |
Sample size determination for testing the arithmetic mean | size.mean |
Sample size determination for testing the proportion | size.prop |
Update seqtest | update.seqtest |