Credible intervals can be specified as equal-tailed intervals (ETIs) or highest density intervals (HDIs). It would be great to add option to choose between ETIs and HDIs in JASP descriptives in future releases.
Purpose
1) For heavily skewed disrtibutions, there is a noticeable difference between ETIs and HDIs.
2) To perform Bayesian parameter inference with the "HDI+ROPE" decision rule. According to this procedure, we look at whether 95% HDI falls within or outside the region of practical equivalence (ROPE) (see Kruschke, 2018).
Use-case
All Bayesian t-tests
Is your feature request related to a problem?
Credible intervals are only specified as ETIs in the current JASP version.
Describe the solution you would like
The option to specify Credible Intervals as ETIs or HDIs (In plots and tables).
Describe alternatives that you have considered
No response
Additional context
Kruschke, J. K. (2018). Rejecting or Accepting Parameter Values in Bayesian Estimation. Advances in Methods and Practices in Psychological Science, 1(2), 270–280. https://doi.org/10.1177/2515245918771304
juliuspfadt
commented
1 year ago
Description
Credible intervals can be specified as equal-tailed intervals (ETIs) or highest density intervals (HDIs). It would be great to add option to choose between ETIs and HDIs in JASP descriptives in future releases.
Purpose
1) For heavily skewed disrtibutions, there is a noticeable difference between ETIs and HDIs. 2) To perform Bayesian parameter inference with the "HDI+ROPE" decision rule. According to this procedure, we look at whether 95% HDI falls within or outside the region of practical equivalence (ROPE) (see Kruschke, 2018).
Use-case
All Bayesian t-tests
Is your feature request related to a problem?
Credible intervals are only specified as ETIs in the current JASP version.
Describe the solution you would like
The option to specify Credible Intervals as ETIs or HDIs (In plots and tables).
Describe alternatives that you have considered
No response
Additional context
Kruschke, J. K. (2018). Rejecting or Accepting Parameter Values in Bayesian Estimation. Advances in Methods and Practices in Psychological Science, 1(2), 270–280. https://doi.org/10.1177/2515245918771304