Determine sample size with Region of Practical Equivalence (ROPE) method
Source:R/ssp_rope.R
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.
Usage
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)
Arguments
- tpr
Numeric. The desired long run probability of having the HDI fully contained within the ROPE interval, given Delta.
- 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.
Value
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.
Examples
if (FALSE) { # \dontrun{
SampleSizePlanner::ssp_rope(tpr = 0.8, eq_band = 0.2, delta = 0, thresh = 10, prior_scale = 1/sqrt(2))
} # }