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

View source: R/residuals.Mort1Dsmooth.R

Extracting different types of residuals from a `Mort1Dsmooth`

object.

1 2 3 4 |

`object` |
an object of class "Mort1Dsmooth", usually, a result of
a call to |

`type` |
the type of residuals which should be returned. The alternatives are: "deviance" (default), "anscombe", "pearson" and "working". |

`...` |
Further arguments passed to or from other methods. Not in used. Not in use. |

The references define the types of residuals.

The way of computing the residuals are described in Section 2.4 of McCullagh and Nelder's book. The working residuals are merely the differences between fitted and actual counts.

A vector of the selected type of residuals for each of the predictor
in the `Mort1Dsmooth`

object.

Carlo G Camarda

Davison, A. C. and Snell, E. J. (1991). *Residuals and
diagnostics.* In: Statistical Theory and Modelling. In Honour of Sir
David Cox, FRS, eds. Hinkley, D. V., Reid, N. and Snell, E. J.,
Chapman & Hall.

McCullagh P. and Nelder, J. A. (1989). *Generalized Linear
Models.* London: Chapman & Hall.

`Mort1Dsmooth`

for computing
`Mort1Dsmooth.object`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
## selected data
years <- 1970:2006
death <- selectHMDdata("Denmark", "Deaths", "Females",
ages = 60, years = years)
exposure <- selectHMDdata("Denmark", "Exposures", "Females",
ages = 60, years = years)
## fit
fit <- Mort1Dsmooth(x=years, y=death, offset=log(exposure),
method=3, lambda=1000)
## extracting residuals
devR <- resid(fit, type="deviance")
ansR <- resid(fit, type="anscombe")
peaR <- resid(fit, type="pearson")
worR <- resid(fit, type="working")
## summaries
summary(devR)
summary(ansR)
summary(peaR)
summary(worR)
``` |

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