percentile_CI: Calculating the confidence intervals of the bootstrapped...
In MaciejDanko/hopit: Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity
percentile_CI R Documentation
Calculating the confidence intervals of the bootstrapped function using the percentile method
Description
Calculate the confidence intervals of the bootstrapped function using the percentile method.
Usage
percentile_CI(boot, alpha = 0.05, bounds = c("both", "lo", "up"))
Arguments
boot
a matrix or a list of vectors with bootstrapped elements. If it is list, then each element of the list is one replication.
alpha
a significance level.
bounds
which bounds to return; one of "both", "lo", "up".
Author(s)
Maciej J. Danko
See Also
boot_hopit, getLevels, getCutPoints, latentIndex, standardiseCoef, hopit.
Examples
# see examples in boot_hopit() function.
MaciejDanko/hopit documentation built on Oct. 4, 2022, 7:59 p.m.
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| percentile_CI | R Documentation |
Calculating the confidence intervals of the bootstrapped function using the percentile method
Description
Calculate the confidence intervals of the bootstrapped function using the percentile method.
Usage
percentile_CI(boot, alpha = 0.05, bounds = c("both", "lo", "up"))
Arguments
boot |
a matrix or a list of vectors with bootstrapped elements. If it is list, then each element of the list is one replication. |
alpha |
a significance level. |
bounds |
which bounds to return; one of |
Author(s)
Maciej J. Danko
See Also
boot_hopit, getLevels, getCutPoints, latentIndex, standardiseCoef, hopit.
Examples
# see examples in boot_hopit() function.
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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