bootstrap_MBI: Bootstrap magnitude based inference

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

Calculates proportion of the estimator bootstrap resample lower/equivalent/higher distribution compared to SESOI band

Usage

bootstrap_MBI(bmbstats_object, estimator, SESOI_lower = 0, SESOI_upper = 0)

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

Value

bmbstats_MBI object

Examples

mean_MBI <- bootstrap_MBI(
  describe_data(rnorm(10, 100, 20)),
  estimator = "mean",
  SESOI_lower = 95,
  SESOI_upper = 105
)
mean_MBI
plot(mean_MBI, control = plot_control(points_jitter = FALSE))

mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.