R: Update 'mu', the Fitted Mean Response

updateMu {MatrixModels} | R Documentation

## Update 'mu', the Fitted Mean Response

### Description

Updates the mean vector μ given the linear predictor γ. Evaluate the residuals and the weighted sum of squared residuals.

### Usage

    updateMu(respM, gamma, ...)

### Arguments

`respM` | a response module, see the `respModule` class.
`gamma` | the value of the linear predictor before adding the offset
`...` | potentially further arguments used in methods; not used currently.

### Details

Note that the offset is added to the linear predictor before calculating mu.

The sqrtXwt matrix can be updated but the sqrtrwt should not be in that the weighted sum of squared residuals should be calculated relative to fixed weights. Reweighting is done in a separate call.

### Value

updated `respM`

### Methods

`signature(respM = "glmRespMod", gamma = "numeric")`

  ..

`signature(respM = "nglmRespMod", gamma = "numeric")`

  ..

`signature(respM = "nlsRespMod", gamma = "numeric")`

  ..

`signature(respM = "respModule", gamma = "numeric")`

  ..

### See Also

The `respModule` class (and specific subclasses); `glm4`.

### Examples

    ## TODO

[Package MatrixModels version 0.4-1 Index]