Bootstrap minimum effect tests (METs)

bootstrap_MET(
  bmbstats_object,
  estimator,
  SESOI_lower = 0,
  SESOI_upper = 0,
  alpha = 0.05
)

Arguments

bmbstats_object	Object of class `bmbstats`
estimator	Name of the estimator from the `bmbstats_object`
SESOI_lower	Lower smallest effect size of interest threshold
SESOI_upper	Upper smallest effect size of interest threshold
alpha	Numeric value for the alpha (Type I error). Default is 0.05

Value

bmbstats_MET object

Examples

mean_MET <- bootstrap_MET(
  describe_data(rnorm(10, 100, 20)),
  estimator = "mean",
  SESOI_lower = 95,
  SESOI_upper = 105,
  alpha = 0.05
)
#> Bootstraping: 2000 resamples
#> Calculating confidence intervals...
#> Warning: boot::boot.ci returned error or NULL when estimating CIs for min estimator. Returning NAs for upper and lower CIs
#> Done!
mean_MET
#> Minimum effect tests for the `mean` estimator
#> Bootstrap result: mean=105.829, 95% CI [95.361, 116.259]
#> SESOI: [95, 105], alpha=0.05
#> 
#>             Test p.value
#>      inferiority  0.9775
#>  non-superiority  0.5655
#>      equivalence  0.5655
#>  non-inferiority  0.0225
#>      superiority  0.4345
#> 
#> Final inference: Not-Lower
plot(mean_MET)