cpCI: Clopper-Pearson confidence interval
In rbscCI: Blyth-Still-Casella Confidence Interval
cpCI R Documentation
Clopper-Pearson confidence interval
Description
Clopper-Pearson confidence interval
Usage
cpCI(n_tot, n_suc, conf, digits = 2)
Arguments
n_tot
Total number of experiments
n_suc
Number of successes
conf
Confidence level (1-alpha)
digits
Number of decimal places to be used
Details
Computes the Clopper-Pearson confidence interval.
Examples
cpCI(100,25,0.95)
rbscCI documentation built on June 24, 2024, 5:19 p.m.
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| cpCI | R Documentation |
Clopper-Pearson confidence interval
Description
Clopper-Pearson confidence interval
Usage
cpCI(n_tot, n_suc, conf, digits = 2)
Arguments
n_tot |
Total number of experiments |
n_suc |
Number of successes |
conf |
Confidence level (1-alpha) |
digits |
Number of decimal places to be used |
Details
Computes the Clopper-Pearson confidence interval.
Examples
cpCI(100,25,0.95)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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