LogRegEquiv (version 0.1.5)

descriptive_equiv: 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 \(M_B\)