deviances {RCM}R Documentation

A function to extract deviances for all dimension, including after filtering on confounders

Description

A function to extract deviances for all dimension, including after filtering on confounders

Usage

deviances(rcm, squaredSum = FALSE)

Arguments

rcm

an object of the RCM class

squaredSum

a boolean, should total deviance be returned?

Total deviances can be deceptive and not correspond to the differences in log-likelihood. As the dispersion is different for each model. To compare models it is better to compare likelihoods.

Value

If Sum is FALSE, a named array of deviance residuals of the independence model and all models with dimension 1 to k, including after filtering on confounders. Otherwise a table with total deviances (the sum of squared deviance residuals), deviance explained and cumulative deviance explained.


[Package RCM version 1.2.0 Index]