bci: Bootstrap Confidence Intervals (Bias-Corrected & Accelerated)
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Description
This function implements the procedure described by
DiCiccio and Efron (1996) to calculate the bias-corrected and
accelerated confidence intervals using only the bootstrap or
monte carlo samples. This function is fast, and gives more accurate
intervals than simply taking the quantiles of the bootstrap samples.
Usage
1
bci(samps, conf.level = 0.95)
Arguments
samps
a vector of the bootstrap or monte carlo samples for a single parameter.
conf.level
the confidence level. defaults to 0.95
Value
a vector of two numeric values containing the interval endpoints
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 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.
Description Usage Arguments Value
Description
This function implements the procedure described by DiCiccio and Efron (1996) to calculate the bias-corrected and accelerated confidence intervals using only the bootstrap or monte carlo samples. This function is fast, and gives more accurate intervals than simply taking the quantiles of the bootstrap samples.
Usage
1 | bci(samps, conf.level = 0.95)
|
Arguments
samps |
a vector of the bootstrap or monte carlo samples for a single parameter. |
conf.level |
the confidence level. defaults to 0.95 |
Value
a vector of two numeric values containing the interval endpoints
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.