individual_predictive_equiv: individual_predictive_equiv function

In LogRegEquiv: Logistic Regression Equivalence

individual_predictive_equiv function

Description

This function takes two logistic regression models M_A, M_B, test data, significance level α and allowed flips ratio r. It checks whether the models produce equivalent log-odds for the given test set and returns various figures.

Usage

individual_predictive_equiv(model_a, model_b, test_data, r = 0.1, alpha = 0.05)

Arguments

model_a	logistic regression model M_A
model_b	logistic regression model M_B
test_data	testing dataset
r	ratio of allowed 'flips' (defaults to 0.1)
alpha	significance level α (defaults to 0.05)

Value

equivalence

Are models M_A,M_B producing equivalent log-odds for the given test data? (boolean)

test_statistic

The test statistic

critical_value

a level-α critical value the test

xi_bar

Mean ξ value for the test

delta_theta

Calculated equivalence parameter

p_value

P-value

LogRegEquiv documentation built on March 18, 2022, 6:13 p.m.