rope_precalculation_results.Rd
Dataset that contains precalculated sample sizes with the ROPE method. The dataset contains the input and output values of these calculations.
rope_precalculation_results
A dataframe with 11070 rows and 8 variables:
numeric, unique id of iteration
numeric, The determined sample size per group.
numeric, The TPR associated with the resulting sample sizes.
numeric, The long-run probability of obtaining a Bayes factor at least as high as the critical threshold favoring superiority, given Delta.
numeric, Scale of the Cauchy prior distribution. Either 1/sqrt(2), 1, or sqrt(2).
numeric, The expected population effect size.
numeric, The chosen ROPE interval.
character, The error message in case of an error.
If none of the precalculated values suit your sample size
determination plan, than feel free the calculations with the R package
by using the ssp_rope
function.