hdi_of_icdf: Highest Density Interval from an Inverse CDF
In powerbrmsINLA: Bayesian Power Analysis Using 'brms' and 'INLA'
View source: R/beta-binom-analytic.R
hdi_of_icdf R Documentation
Highest Density Interval from an Inverse CDF
Description
Computes an HDI of given mass from any distribution for which you have a
quantile function (inverse CDF).
Usage
hdi_of_icdf(qfun, width = 0.95, tol = 1e-08, ...)
Arguments
qfun
Quantile function, e.g., qbeta, qnorm, ...
width
Desired HDI mass (e.g., 0.95).
tol
Optimizer tolerance.
...
Additional arguments passed to qfun.
Value
Named numeric vector with elements ll and ul.
powerbrmsINLA documentation built on July 2, 2026, 5:07 p.m.
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View source: R/beta-binom-analytic.R
| hdi_of_icdf | R Documentation |
Highest Density Interval from an Inverse CDF
Description
Computes an HDI of given mass from any distribution for which you have a quantile function (inverse CDF).
Usage
hdi_of_icdf(qfun, width = 0.95, tol = 1e-08, ...)
Arguments
qfun |
Quantile function, e.g., |
width |
Desired HDI mass (e.g., 0.95). |
tol |
Optimizer tolerance. |
... |
Additional arguments passed to |
Value
Named numeric vector with elements ll and ul.
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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