chi2_test_BFF {BFF} | R Documentation |
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,
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) |
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. |
Value
Returns an S3 object of class 'BFF' (see 'BFF.object' for details).
Examples
chi2BFF = chi2_test_BFF(chi2_stat = 6.5, n = 10)
chi2BFF
plot(chi2BFF)