This function takes two logistic regression models \(M_A, M_B\), sensitivity level \(\delta_\beta\) and significance level \(\alpha\). It checks whether the coefficient vectors are equivalent.
beta_equivalence(model_a, model_b, delta, alpha)logistic regression model \(M_A\)
logistic regression model \(M_B\)
equivalence sensitivity level \(\delta_\beta\). This could either be a scalar or a vector with length matching the number of coefficients.
significance level \(\alpha\)
equivalenceare the coefficient vectors equivalent? (boolean)
test_statisticEquivalence test statistic
critical valuea level-\(\alpha\) critical value
ncpnon-centrality parameter
p_valueP-value