descriptive_equiv: descriptive_equiv function

In LogRegEquiv: Logistic Regression Equivalence

descriptive_equiv function

Description

This function takes two datasets X_A, X_B, regression formula, significance level α and sensitivity level δ_β (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 δ_β
alpha	significance level α (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

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