Description Usage Arguments Details Value See Also Examples
Compute inverse cumulative density function of the distribution
1 2 3 4 5 6 7 | InverseHDI(
beta,
shape1,
shape2,
credible.region = 0.95,
tolerance = 0.00000001
)
|
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 |
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).
Return HDI
1 2 3 | InverseHDI( qbeta , 554 , 149 )
# HDIlo HDIhi
# 0.758 0.818
|
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