extract_ci: Extract confidence intervals from a vector of samples
In HuraultMisc: Guillem Hurault Functions' Library
Description
Usage
Arguments
Value
Examples
Description
Extract confidence intervals from a vector of samples
Usage
1
extract_ci(x, CI_level = seq(0.1, 0.9, 0.1), type = c("eti", "hdi"))
Arguments
x
Vector of samples from a distribution.
CI_level
Vector containing the level of the confidence/credible intervals.
type
"eti" for equal-tailed intervals and "hdi" for highest density intervals.
Value
Dataframe with columns: Lower, Upper, Level.
Examples
1
2
3
x <- rexp(1e4)
extract_ci(x, type = "eti")
extract_ci(x, type = "hdi")
HuraultMisc documentation built on Sept. 6, 2021, 9:09 a.m.
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Description Usage Arguments Value Examples
Description
Extract confidence intervals from a vector of samples
Usage
1 | extract_ci(x, CI_level = seq(0.1, 0.9, 0.1), type = c("eti", "hdi"))
|
Arguments
x |
Vector of samples from a distribution. |
CI_level |
Vector containing the level of the confidence/credible intervals. |
type |
"eti" for equal-tailed intervals and "hdi" for highest density intervals. |
Value
Dataframe with columns: Lower, Upper, Level.
Examples
1 2 3 | x <- rexp(1e4)
extract_ci(x, type = "eti")
extract_ci(x, type = "hdi")
|
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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