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 1.6.0 Index]