Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/residuals.mixreg.R

Calculates the residuals from each component of the mixture and the matrix of probabilities that each observation was generated by each component.

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`object` |
An object of class |

`std` |
Logical argument; if TRUE then the residuals are standardized (by dividing them by their estimated standard deviation). |

`...` |
Not used. |

The calculation of the estimated standard deviations of the residuals is a little bit complicated since each component of the model is fitted using weighted regression in a setting in which the weights are NOT the reciprocals of error variances. See the reference below for more detail.

A list (of class "mixresid") with entries

`resid` |
The residuals of the model, bundled together in a |

`fvals` |
Matrix of the fitted values of the model, structured like |

`gamma` |
An |

`x` |
The matrix of predictors in the regression model (or if there is only one predictor, this predictor as a vector). |

`y` |
The vector of response values. |

`vnms` |
Character vector; the first entry is the name of the response. The
remaining entries are “reasonable” names for the individual
(vector) predictors. Note that if there is no predictor then |

`noPred` |
Logical scalar; set to |

Rolf Turner r.turner@auckland.ac.nz

T. Rolf Turner (2000). Estimating the rate of spread of a
viral infection of potato plants via mixtures of regressions.
*Applied Statistics* **49** Part 3, pp. 371 – 384.

`ncMcTest()`

,`cband()`

, `covMix()`

,
`mixreg()`

, `plot.cband()`

,
`plot.mixresid()`

, `qqMix()`

,
`residuals.mixreg()`

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