InverseHDI {bfw} | R Documentation |
Compute Inverse HDI
Description
Compute inverse cumulative density function of the distribution
Usage
InverseHDI(
beta,
shape1,
shape2,
credible.region = 0.95,
tolerance = 0.00000001
)
Arguments
beta |
density, distribution function, quantile function and random generation for the Beta distribution with parameters shape1 and shape2 |
shape1 |
non-negative parameter of the Beta distribution. |
shape2 |
non-negative parameter of the Beta distribution. |
credible.region |
summarize uncertainty by defining a region of most credible values (e.g., 95 percent of the distribution), Default: 0.95 |
tolerance |
the desired accuracy, Default: 1e-8 |
Details
values within the HDI have higher probability density than values outside the HDI, and the values inside the HDI have a total probability equal to the credible region (e.g., 95 percent).
Value
Return HDI
See Also
Examples
InverseHDI( qbeta , 554 , 149 )
# HDIlo HDIhi
# 0.758 0.818
[Package bfw version 0.4.2 Index]