individual_predictive_equiv {LogRegEquiv}R Documentation

individual_predictive_equiv function

Description

This function takes two logistic regression models MA,MBM_A, M_B, test data, significance level α\alpha and allowed flips ratio rr. 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 MAM_A

model_b

logistic regression model MBM_B

test_data

testing dataset

r

ratio of allowed 'flips' (defaults to 0.1)

alpha

significance level α\alpha (defaults to 0.05)

Value

equivalence

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

test_statistic

The test statistic

critical_value

a level-α\alpha critical value the test

xi_bar

Mean ξ\xi value for the test

delta_theta

Calculated equivalence parameter

p_value

P-value


[Package LogRegEquiv version 0.1.5 Index]