InverseHDI | R Documentation |
Compute inverse cumulative density function of the distribution
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
Beta
,optimize
InverseHDI( qbeta , 554 , 149 ) # HDIlo HDIhi # 0.758 0.818
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.