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Sequential  

Exact Sequential Analysis for Poisson and Binomial Data
View on CRAN: Click here


Download and install Sequential package within the R console
Install from CRAN:
install.packages("Sequential")

Install from Github:
library("remotes")
install_github("cran/Sequential")

Install by package version:
library("remotes")
install_version("Sequential", "4.3.4")



Attach the package and use:
library("Sequential")
Maintained by
Ivair Ramos Silva
[Scholar Profile | Author Map]
First Published: 2013-01-31
Latest Update: 2024-02-20
Description:
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.
How to cite:
Ivair Ramos Silva (2013). Sequential: Exact Sequential Analysis for Poisson and Binomial Data. R package version 4.3.4, https://cran.r-project.org/web/packages/Sequential. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2013-01-31 18:56), 1.1 (2014-01-18 01:13), 2.0.1 (2015-06-20 00:29), 2.0.2 (2015-10-23 16:29), 2.0 (2015-06-07 00:55), 2.1.1 (2016-07-02 06:56), 2.1 (2016-05-14 00:19), 2.2.1 (2016-09-11 16:38), 2.2 (2016-07-11 19:05), 2.3.1 (2017-03-04 08:21), 2.3.2 (2017-08-02 07:14), 2.3 (2017-01-01 10:09), 3.0.1 (2019-02-08 06:43), 3.0 (2019-01-08 06:50), 3.1 (2019-09-28 15:20), 3.2.1 (2020-12-17 07:20), 3.2 (2020-11-29 07:20), 3.3.1 (2021-02-21 07:00), 3.3.2 (2021-08-18 19:30), 3.3.3 (2021-08-21 06:50), 3.3 (2021-02-06 07:00), 3.4 (2021-09-03 02:10), 4.0 (2021-09-30 07:10), 4.1 (2021-10-07 07:50), 4.2 (2022-02-19 13:10), 4.3.1 (2023-10-26 21:40), 4.3.2 (2023-12-15 19:30), 4.3.3 (2024-02-20 23:10), 4.3 (2022-04-24 06:40)
Other packages that cited Sequential R package
View Sequential citation profile
Other R packages that Sequential depends, imports, suggests or enhances
Complete documentation for Sequential
Functions, R codes and Examples using the Sequential R package
Some associated functions: Analyze.Binomial . Analyze.CondPoisson . Analyze.Poisson . Analyze.wBinomial . AnalyzeSetUp.Binomial . AnalyzeSetUp.CondPoisson . AnalyzeSetUp.Poisson . AnalyzeSetUp.wBinomial . CV.Binomial . CV.CondPoisson . CV.Poisson . ConfidenceInterval.Binomial . Optimal.Binomial . Performance.AlphaSpend.Binomial . Performance.AlphaSpend.CondPoisson . Performance.AlphaSpend.Poisson . Performance.Binomial . Performance.CondPoisson . Performance.Poisson . Performance.Threshold.Binomial . Performance.Threshold.CondPoisson . Performance.Threshold.Poisson . SampleSize.Binomial . SampleSize.CondPoisson . SampleSize.Poisson . Sequential-package . 
Some associated R codes: Analyze.Binomial.R . Analyze.CondPoisson.R . Analyze.Poisson.R . Analyze.wBinomial.R . AnalyzeSetUp.Binomial.R . AnalyzeSetUp.CondPoisson.R . AnalyzeSetUp.Poisson.R . AnalyzeSetUp.wBinomial.R . CV.Binomial.R . CV.CondPoisson.R . CV.Poisson.R . ConfidenceInterval.Binomial.R . Optimal.Binomial.R . Performance.AlphaSpend.Binomial.R . Performance.AlphaSpend.CondPoisson.R . Performance.AlphaSpend.Poisson.R . Performance.Binomial.R . Performance.CondPoisson.R . Performance.Poisson.R . Performance.Threshold.Binomial.R . Performance.Threshold.CondPoisson.R . Performance.Threshold.Poisson.R . SampleSize.Binomial.R . SampleSize.CondPoisson.R . SampleSize.Poisson.R .  Full Sequential package functions and examples
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