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

This function can used when the fitted model centiles do not coincide with the sample centiles.

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`object` |
a gamlss fitted object |

`xvar` |
The explanatory variable |

`cent` |
a vector with elements the % centile values for which the centile curves have to be evaluated |

`legend` |
whether legend is required |

`fan` |
whether to use the fan version of centiles |

`...` |
other argument pass on to |

The function finds the sample quantiles of the residuals of the fitted model (the z-scores) and use them as sample quantile in the argument `cent`

of the `centiles()`

function. This procedure is appropriate if the fitted model centiles do not coincide with the sample centiles and when this failure is the same in all values of the explanatory variable `xvar`

.

A centile plot is produced and the sample centiles below each centile curve are printed (or saved)

Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk, Bob Rigby r.rigby@londonmet.ac.uk and Vlasios Voudouris

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape, (with discussion),
*Appl. Statist.*, **54**, part 3, pp 507-554.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019)
*Distributions for modeling location, scale, and shape: Using GAMLSS in R*, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R.
*Journal of Statistical Software*, Vol. **23**, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017)
*Flexible Regression and Smoothing: Using GAMLSS in R*, Chapman and Hall/CRC.

(see also https://www.gamlss.com/).

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```
Loading required package: splines
Loading required package: gamlss.data
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
********** GAMLSS Version 5.0-2 **********
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.
GAMLSS-RS iteration 1: Global Deviance = 4782.6
GAMLSS-RS iteration 2: Global Deviance = 4779.267
GAMLSS-RS iteration 3: Global Deviance = 4779.279
GAMLSS-RS iteration 4: Global Deviance = 4779.279
```

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