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:Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]

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 = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.26 score 2 stars 1 packages 793 downloads 3 mentions 25 exports 1 dependencies

Last updated 5 months agofrom:55844b3c86. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-linuxOKMar 24 2025

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

Citation

To cite package ‘Sequential’ in publications use:

Silva IR, Kulldorff M (2024). Sequential: Exact Sequential Analysis for Poisson and Binomial Data. R package version 4.3.4, https://CRAN.R-project.org/package=Sequential.

Corresponding BibTeX entry: 

  @Manual{,
    title = {Sequential: Exact Sequential Analysis for Poisson and
      Binomial Data},
    author = {Ivair Ramos Silva and Martin Kulldorff},
    year = {2024},
    note = {R package version 4.3.4},
    url = {https://CRAN.R-project.org/package=Sequential},
  }

Readme and manuals

Help Manual

Help pageTopics
Analysis Support, Critical Values, Power, Time to Signal and Sample Size for Sequential Analysis with Poisson and Binomial Data.Sequential-package Sequential
Function for group sequential analyses for binomial data, without the need to know group sizes a priori.Analyze.Binomial
Function to conduct group sequential analyses for conditional Poisson data without the need to know group sizes a priori.Analyze.CondPoisson
Function to conduct group sequential analyses for Poisson data without the need to know group sizes a priori.Analyze.Poisson
Function for group sequential analyses of multiple weighted binomial endpoints, without the need to know group sizes a priori.Analyze.wBinomial
Function to set up input parameters before using the 'Analyze.Binomial' function for the first time.AnalyzeSetUp.Binomial
Function to set up input parameters before using the 'Analyze.CondPoisson' function for the first time.AnalyzeSetUp.CondPoisson
Function to set up input parameters before using the 'Analyze.Poisson' function for the first time.AnalyzeSetUp.Poisson
Function to set up input parameters before using the 'Analyze.wBinomial' function for the first time.AnalyzeSetUp.wBinomial
Confidence Interval for the Relative Risk Following a Sequential Test with Binary Data.ConfidenceInterval.Binomial
Calculates exact critical values for group and continuous sequential analysis with binomial data.CV.Binomial
Critical values for continuous sequential CMaxSPRT for Poisson data with limited information from historical cohort.CV.CondPoisson
Critical values for group and continuous sequential analysis with Poisson data.CV.Poisson
Optimal alpha spending for minimizing expected time to signal for continuous and group sequential analysis with binomial data.Optimal.Binomial
Calculates performance and signaling threshold for user-defined alpha spending for sequential analysis with binomial data.Performance.AlphaSpend.Binomial
Calculates performance and signaling thresholds for user-defined alpha spending for sequential analysis with conditional Poisson data.Performance.AlphaSpend.CondPoisson
Calculates performance and signaling thresholds for user-defined alpha spending for sequential analysis with Poisson data.Performance.AlphaSpend.Poisson
Statistical power, expected time to signal and expected sample size for group and continuous sequential analysis with binomial data.Performance.Binomial
Statistical power, expected time to signal and expected sample size for the continuous sequential CMaxSPRT for Poisson data with limited information from historical cohort.Performance.CondPoisson
Calculates statistical power, expected time to signal and expected sample size for group and continuous sequential analysis with Poisson data.Performance.Poisson
Statistical Performance and Alpha Spending For User-defined Signaling Threshold With Binomial Data.Performance.Threshold.Binomial
Performance and alpha spending for user-defined signaling threshold for sequential analysis with conditional Poisson data.Performance.Threshold.CondPoisson
Performance and alpha spending for user-defined signaling threshold for sequential analysis with Poisson data.Performance.Threshold.Poisson
Sample size calculation for continuous sequential analysis with binomial data.SampleSize.Binomial
Sample size calculation for the continuous sequential CMaxSPRT for Poisson data with limited information from historical cohort.SampleSize.CondPoisson
Sample size calculation for continuous sequential analysis with Poisson data.SampleSize.Poisson