interpret_rope function

Interpret Bayesian Posterior Percentage in ROPE.

Interpretation of

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

Arguments

• rope: Value or vector of percentages in ROPE.
• rules: A character string (see details) or a custom set of rules().
• 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

• 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

Examples

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

References

BayestestR's reporting guidelines