bscCI: Blyth-Still-Casella confidence interval
In rbscCI: Blyth-Still-Casella Confidence Interval
Description
Usage
Arguments
Details
Value
Examples
Description
Blyth-Still-Casella confidence interval
Usage
1
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
1
bscCI(100,25,0.95,digits = 3)
rbscCI documentation built on July 8, 2020, 7:15 p.m.
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Description Usage Arguments Details Value Examples
Description
Blyth-Still-Casella confidence interval
Usage
1 | 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
1 | 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.
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