Determine sample size with Non-inferiority Bayes factor method

A Bayesian statistical testing approach aimed at establishing non-inferiority of one condition compared to the other.

Usage

ssp_infer_bf(
  tpr,
  ni_margin,
  delta,
  thresh = 10,
  tol = 1e-04,
  granularity = 300,
  prior_location = 0,
  prior_scale = 1/sqrt(2),
  max_n = 10001
)

infer_bf(
  n1,
  ni_margin,
  delta,
  thresh,
  tol,
  granularity,
  prior_location,
  prior_scale
)

Arguments

tpr: Numeric. The desired long-run probability of obtaining a Bayes factor at least as high as the Threshold, given Delta.
ni_margin: Numeric. A non-negative number representing the non-inferiority margin.
delta: Numeric. The expected population effect size.
thresh: Integer. Critical threshold for the Bayes factor.
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.
max_n: Integer. The maximum number of participants per group (both groups are assumed to have equal sample size).

Value

The function returns a list of two named numeric vectors. The first `n1` the determined sample size per group. The third `tpr_out` is the TPR corresponding to the determined sample sizes.

Examples

if (FALSE) { # \dontrun{
SampleSizePlanner::ssp_infer_bf(tpr = 0.8, delta = 0, ni_margin = 0.2, thresh = 10)
} # }