[Feature Request]: Bayesian Credible Intervals specified in raw units

[Masharipov]

Description

JASP reports credible intervals in Cohen's d values. Is would be great to get 95% credible intervals in both raw units and Cohen's d (in plots and tables) in future releases.

Purpose

1. To see the posterior probability distribution in both raw and Cohen's d units.
2. To perform Bayesian parameter inference on raw units.

In some scientific field the raw units may have more sense than Cohen's d units. For example, heart rate, blood pressure or BOLD signal change have better interpretability in raw units.
For example, one would like to see if the 95% Credible Interval (or Higher density interval) of the BOLD signal change fall within or outside the region of practical equivalence (ROPE) (i.e. [-0.01:0.01] BOLD signal change %). This procedure refers to the "HDI+ROPE" decision rule described in Kruschke (2018).

Use-case

All Bayesian t-tests

Is your feature request related to a problem?

JASP reports credible intervals only in Cohen's d.

Describe the solution you would like

Credible intervals specified in both raw and Cohen's d values (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]

Hi @Masharipov, thanks for the request. This seems reasonable to me. How feasible is it @vandenman?

[tomtomme]

closing as duplicate of
#1664
#2559