predict.flic

A fitted object of class <code>flic</code>.

object

Optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used.

newdata

The type of prediction required. The default is on the scale of the linear predictors. The alternative <code>response</code> gives the predicted probabilities.

type

further arguments passed to or from other methods.

Obtains predictions from a fitted <code>flic</code> object.

Fit a logistic regression model using Firth's bias reduction method, equivalent to penalization of the log-likelihood by the Jeffreys
prior. Confidence intervals for regression coefficients can be computed by penalized profile likelihood. Firth's method was proposed as ideal
solution to the problem of separation in logistic regression, see Heinze and Schemper (2002) <doi:10.1002/sim.1047>. If needed, the bias reduction can be turned off such that ordinary
maximum likelihood logistic regression is obtained. Two new modifications of Firth's method, FLIC and FLAC, lead to unbiased predictions and are now available
in the package as well, see Puhr, Heinze, Nold, Lusa and Geroldinger (2017) <doi:10.1002/sim.7273>.

predict.flic: Predict Method for flic Fits

Description

Usage

Arguments

Value

Details