Non-inferiority Bayes Factor Precalculation Results
Source:R/infer_bf_precalculation_results.R
infer_bf_precalculation_results.RdDataset that contains precalculated sample sizes with the non-inferiority Bayes factor method. The dataset contains the input and output values of these calculations.
Format
A dataframe with 30690 rows and 9 variables:
- iterate
numeric, unique id of iteration
- tpr
numeric, The long-run probability of obtaining a Bayes factor at least as high as the critical threshold favoring superiority, given Delta.
- delta
numeric, The expected population effect size.
- thresh
numeric, The Bayes factor threshold for inference. Either 3, 6, or 10.
- prior_scale
numeric, Scale of the Cauchy prior distribution. Either 1/sqrt(2), 1, or sqrt(2).
- ni_margin
non-negative numeric, The chosen non-inferiority margin.
- n1
numeric, The determined sample size per group.
- tpr_out
numeric, The TPR associated with the resulting sample sizes.
- error_message
character, The error message in case of an error.
Remark
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_infer_bf function.