BFF (version 4.5.0)

t_test_BFF: t_test_BFF

Description

t_test_BFF constructs BFFs based on the t test. BFFs depend on hyperparameters r and tau^2 which determine the shape and scale of the prior distributions which define the alternative hypotheses. By setting r > 1, we use higher-order moments for replicated studies. Fractional moments are set with r > 1 and r not an integer. All results are on the log scale.

Usage

t_test_BFF(
  t_stat,
  n = NULL,
  n1 = NULL,
  n2 = NULL,
  one_sample = FALSE,
  alternative = "two.sided",
  omega = NULL,
  omega_sequence = if (is.null(omega)) seq(0.01, 1, by = 0.01),
  r = 1
)

Value

Returns an S3 object of class `BFF` (see `BFF.object` for details).

Arguments

t_stat

t statistic

n

sample size (if one sample test)

n1

sample size of group one for two sample test. Must be provided if one_sample = FALSE

n2

sample size of group two for two sample test. Must be provided if one_sample = FALSE

one_sample

is test one sided? Default is FALSE

alternative

the alternative. options are "two.sided" or "less" or "greater"

omega

standardized effect size. For the t-test, this is often called Cohen's d (can be a single entry or a vector of values)

omega_sequence

sequence of standardized effect sizes. If no omega is provided, omega_sequence is set to be seq(0.01, 1, by = 0.01)

r

variable controlling dispersion of non-local priors. Default is 1. r must be >= 1

Examples

tBFF = t_test_BFF(t_stat = 2.5, n = 50, one_sample = TRUE)
tBFF
plot(tBFF)