bscCI: Blyth-Still-Casella confidence interval
In rbscCI: Blyth-Still-Casella Confidence Interval
bscCI R Documentation
Blyth-Still-Casella confidence interval
Description
Blyth-Still-Casella confidence interval
Usage
bscCI(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 exact Blyth-Still-Casella binomial confidence interval. The initial CI is the Clopper-Pearson confidence interval.
Value
A vector containing the confidence interval. If digits is given, both upper and lower limits are rounded to the given number of digits.
Examples
bscCI(100,25,0.95,digits = 3)
rbscCI documentation built on June 24, 2024, 5:19 p.m.
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.
| bscCI | R Documentation |
Blyth-Still-Casella confidence interval
Description
Blyth-Still-Casella confidence interval
Usage
bscCI(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 exact Blyth-Still-Casella binomial confidence interval. The initial CI is the Clopper-Pearson confidence interval.
Value
A vector containing the confidence interval. If digits is given, both upper and lower limits are rounded to the given number of digits.
Examples
bscCI(100,25,0.95,digits = 3)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.