agrestiCoullCI: Agresti-Coull confidence interval for a binomial proportion
In biobenkj/compartmap: Higher-order chromatin domain inference in single samples from methylation arrays and single cells from scRNA-seq and scATAC-seq
View source: R/agrestiCoullCI.R
agrestiCoullCI R Documentation
Agresti-Coull confidence interval for a binomial proportion
Description
Agresti-Coull confidence interval for a binomial proportion
Usage
agrestiCoullCI(n1, n0, q)
Arguments
n1
number of successes/ones
n0
number of failures/zeroes
q
quantile for eventual CI (e.g. 0.95 for a 95 percent binomial CI)
Value
the approximate (q x 100) percent confidence interval for (p|n1,n0,q)
Examples
binom.ci <- agrestiCoullCI(10, 3, 0.95)
biobenkj/compartmap documentation built on Oct. 18, 2023, 11:11 a.m.
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View source: R/agrestiCoullCI.R
| agrestiCoullCI | R Documentation |
Agresti-Coull confidence interval for a binomial proportion
Description
Agresti-Coull confidence interval for a binomial proportion
Usage
agrestiCoullCI(n1, n0, q)
Arguments
n1 |
number of successes/ones |
n0 |
number of failures/zeroes |
q |
quantile for eventual CI (e.g. 0.95 for a 95 percent binomial CI) |
Value
the approximate (q x 100) percent confidence interval for (p|n1,n0,q)
Examples
binom.ci <- agrestiCoullCI(10, 3, 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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