regression_test_BFF {BFF}

regression_test_BFF

Description

regression_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

regression_test_BFF(
  t_stat,
  n = NULL,
  k = NULL,
  alternative = "two.sided",
  omega = NULL,
  omega_sequence = if (is.null(omega)) seq(0.01, 1, by = 0.01),
  r = 1
)

Arguments

t_stat

T statistic

n

sample size (if one sample test)

k

number of predictors

alternative

is the alternative a one.sided or two.sided test? default is two.sided

omega

standadized effect size. For the regression test, this is also known as Cohen's f^@ (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.

Value

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

Examples

regBFF = regression_test_BFF(t_stat = 1.5, n = 50, k = 3)
regBFF
plot(regBFF)