descriptive_equiv {LogRegEquiv}R Documentation

descriptive_equiv function

Description

This function takes two datasets XA,XBX_A, X_B, regression formula, significance level α\alpha and sensitivity level δβ\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 XAX_A for model MAM_A

data_b

dataset XBX_B for model MBM_B

formula

logistic regression formula

delta

equivalence sensitivity level δβ\delta_\beta

alpha

significance level α\alpha (defaults to 0.05)

Value

equivalence

the beta_equivalence function output

model_a

logistic regression model MAM_A

model_b

logistic regression model MBM_B


[Package LogRegEquiv version 0.1.5 Index]