beta.ci: Beta Approximation Confidence Intervals
In jrklasen/relMM: Mixed Models incopareting relationship matrices
Description
Using the bootstrapping mean and variance to calculate beta distributed two-sided
confidence intervals.
Usage
1
beta.ci(object, conf = 0.95, index = 1)
Arguments
object
a bootstrap object returned from a call to boot.
conf
a scalar or vector containing the confidence level of the
required interval.
index
the index of the statistic of interest within the output of a
call to boot.out$statistic.
jrklasen/relMM documentation built on May 19, 2019, 11:53 p.m.
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Description
Using the bootstrapping mean and variance to calculate beta distributed two-sided confidence intervals.
Usage
1 | beta.ci(object, conf = 0.95, index = 1)
|
Arguments
object |
a bootstrap object returned from a call to boot. |
conf |
a scalar or vector containing the confidence level of the required interval. |
index |
the index of the statistic of interest within the output of a call to boot.out$statistic. |
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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