.information.logit {BuyseTest}R Documentation

Information for Logistic Regressions

Description

Compute the information (i.e. opposit of the expectation of the second derivative of the log-likelihood) for logistic regressions.

Usage

.information.logit(object, indiv, center)

Arguments

object

a glm object corresponding to a logistic regression.

indiv

[logical] should the individual contribution be output instead of the total information?

center

[logical] should the individual contribution be centered around the average?


[Package BuyseTest version 2.4.0 Index]