Two one-sided tests (TOST) of equivalence on a Cohen's d bound

Reports the larger of the two one-sided p-values; a value below alpha supports equivalence within +/- bound_d standard deviations. A non-significant difference test is not itself evidence of equivalence, hence TOST is reported alongside the standardised mean difference (Lakens, 2017).

Usage

tost_equiv(x, y, bound_d = 0.5, alpha = 0.05)

Arguments

x, y

Numeric vectors.

bound_d

Smallest effect size of interest (Cohen's d); defaults to the schema value of 0.5 (Lakens, 2017).

alpha

Significance level.

Value

A list with p and logical equivalent.