agrestiCoullCI: Agresti-Coull confidence interval for a binomial proportion
In JordanVeldboom/compartmap: A/B compartment inference from ATAC-seq and methylation array data
Description
Usage
Arguments
Value
Examples
View source: R/agrestiCoullCI.R
Description
Agresti-Coull confidence interval for a binomial proportion
Usage
1
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
1
binom.ci <- agrestiCoullCI(10, 3, 0.95)
JordanVeldboom/compartmap documentation built on July 3, 2020, 6:32 p.m.
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Description Usage Arguments Value Examples
View source: R/agrestiCoullCI.R
Description
Agresti-Coull confidence interval for a binomial proportion
Usage
1 | 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
1 | 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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