ssp_rope.Rd
The ROPE procedure identifies the 95 (HDI; other percentages are permissible as well) and determines whether or not the HDI is fully contained within the equivalence interval.
ssp_rope( tpr, eq_band, delta, alpha = 0.05, tol = 1e-04, granularity = 300, prior_location = 0, prior_scale = 1/sqrt(2) ) rope(n1, delta, eq_band, alpha, tol, granularity, prior_location, prior_scale)
tpr | Numeric. The desired long run probability of having the HDI fully contained within the ROPE interval, given Delta. |
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eq_band | Numeric. The chosen ROPE interval. |
delta | Numeric. The expected population effect size. |
alpha | Numeric. The level of significance. |
tol | Numeric. Relative accuracy requested. |
granularity | Numeric. Relative precision of the tpr estimates, higher values mean more precision. |
prior_location | Numeric. Location of the Cauchy prior distribution. |
prior_scale | Numeric. Scale of the Cauchy prior distribution. |
The function returns a list of three named numeric vectors. The first `delta` is the range of deltas provided for the function. The second `n1` the determined sample size per group. The third `tpr_out` is the TPR corresponding to the determined sample sizes with the given delta.
if (FALSE) { SampleSizePlanner::ssp_rope(tpr = 0.8, eq_band = 0.2, delta = 0, thresh = 10, prior_scale = 1/sqrt(2)) }