Package: Sequential 4.3.4
Ivair Ramos Silva
Sequential: Exact Sequential Analysis for Poisson and Binomial Data
Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
Authors:
Sequential_4.3.4.tar.gz
Sequential_4.3.4.tar.gz(r-4.5-noble)Sequential_4.3.4.tar.gz(r-4.4-noble)
Sequential_4.3.4.tgz(r-4.4-emscripten)Sequential_4.3.4.tgz(r-4.3-emscripten)
Sequential.pdf |Sequential.html✨
Sequential/json (API)
# Install 'Sequential' in R: |
install.packages('Sequential', 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 30 days agofrom:55844b3c86. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
Exports:Analyze.BinomialAnalyze.CondPoissonAnalyze.PoissonAnalyze.wBinomialAnalyzeSetUp.BinomialAnalyzeSetUp.CondPoissonAnalyzeSetUp.PoissonAnalyzeSetUp.wBinomialConfidenceInterval.BinomialCV.BinomialCV.CondPoissonCV.PoissonOptimal.BinomialPerformance.AlphaSpend.BinomialPerformance.AlphaSpend.CondPoissonPerformance.AlphaSpend.PoissonPerformance.BinomialPerformance.CondPoissonPerformance.PoissonPerformance.Threshold.BinomialPerformance.Threshold.CondPoissonPerformance.Threshold.PoissonSampleSize.BinomialSampleSize.CondPoissonSampleSize.Poisson
Dependencies:boot