influence.combi {combi} | R Documentation

## Evaluate the influence function

### Description

Evaluate the influence function

### Usage

    ## S3 method for class 'combi'
    influence(modelObj, samples = is.null(View), Dim = 1,
      View = NULL)

### Arguments

`modelObj` | The model object
`samples` | A boolean, should we look at sample variables? Throws an error otherwise
`Dim, View` | Integers, the dimension and views required

### Details

Especially the influence of the different views on the latent variable or gradient estimation may be of interest. The influence values are not all calculated. Rather, the score values and inverse jacobian are returned so they can easily be calculated

### Value

A list with components

`score` | The evaluation of the score function
`InvJac` | The inverted jacobian matrix

[Package combi version 1.6.0 Index]