chi2_test_BFF: chi2_test_BFF

In BFF: Bayes Factor Functions

chi2_test_BFF

Description

chi2_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

chi2_test_BFF(
  chi2_stat,
  n,
  df,
  LRT = FALSE,
  omega = NULL,
  omega_sequence = if (is.null(omega)) seq(0.01, 1, by = 0.01),
  r = 1
)

Arguments

chi2_stat	chi-square statistic
n	sample size (if one sample test)
df	degrees of freedom
LRT	should LRT be performed? Default is FALSE
omega	standardized effect size. For the chi^2-test, this is often called Cohen's w (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

Value

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

Examples

chi2BFF = chi2_test_BFF(chi2_stat = 6.5, n = 10, df = 9)
chi2BFF
plot(chi2BFF)

BFF documentation built on June 8, 2025, 12:55 p.m.