descriptive_equiv {LogRegEquiv}

descriptive_equiv function

Description

This function takes two datasets X_A, X_B, regression formula, significance level \alpha and sensitivity level \delta_\beta (either vector or scalar). It builds a logistic regression model for each of the datasets and then checks whether the obtained coefficient vectors are equivalent, using the beta_equivalence function.

Usage

descriptive_equiv(data_a, data_b, formula, delta, alpha = 0.05)

Arguments

data_a

dataset X_A for model M_A

data_b

dataset X_B for model M_B

formula

logistic regression formula

delta

equivalence sensitivity level \delta_\beta

alpha

significance level \alpha (defaults to 0.05)

Value

equivalence

the beta_equivalence function output

model_a

logistic regression model M_A

model_b

logistic regression model M_B