interpret_rope: Interpret Bayesian Posterior Percentage in ROPE.

In effectsize: Indices of Effect Size

Interpret Bayesian Posterior Percentage in ROPE.

Description

Interpretation of

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

BayestestR's reporting guidelines

Examples

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

effectsize documentation built on July 3, 2024, 9:07 a.m.