individual_predictive_equiv {LogRegEquiv} | R Documentation |
individual_predictive_equiv function
Description
This function takes two logistic regression models ,
test data, significance level
and allowed flips ratio
. 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 |
model_b |
logistic regression model |
test_data |
testing dataset |
r |
ratio of allowed 'flips' (defaults to 0.1) |
alpha |
significance level |
Value
equivalence
Are models
producing equivalent log-odds for the given test data? (boolean)
test_statistic
The test statistic
critical_value
a level-
critical value the test
xi_bar
Mean
value for the test
delta_theta
Calculated equivalence parameter
p_value
P-value
[Package LogRegEquiv version 0.1.5 Index]