Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

interpret_rope

Interpret Bayesian diagnostic indices

Description

Interpretation of Bayesian indices of percentage in ROPE.

Usage

interpret_rope(rope, ci = 0.9, rules = "default")

Arguments

rope

Value or vector of percentages in ROPE.
ci

The Credible Interval (CI) probability, corresponding to the proportion of HDI, that was used. Can be 1 in the case of "full ROPE".
rules

A character string (see details) or a custom set of rules().

Rules

  • Default

    • For CI < 1

      • Rope = 0 - Significant

      • 0 < Rope < 1 - Undecided

      • Rope = 1 - Negligible

    • For CI = 1

      • Rope < 0.01 - Significant

      • 0.01 < Rope < 0.025 - Probably significant

      • 0.025 < Rope < 0.975 - Undecided

      • 0.975 < Rope < 0.99 - Probably negligible

      • Rope > 0.99 - Negligible

References

Examples

interpret_rope(0, ci = 0.9)
interpret_rope(c(0.005, 0.99), ci = 1)
effectsize

Indices of Effect Size and Standardized Parameters

v0.4.4-1
GPL-3
Authors
Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Ken Kelley [ctb], David Stanley [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.