Description Usage Arguments Details Value Author(s) References Examples

View source: R/getSmo-18-6-13.R

The function `getSmo()`

extracts information from a fitted smoothing additive term.

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`object` |
a GAMLSS fitted model |

`what` |
which distribution parameter is required, default what="mu" |

`parameter` |
equivalent to |

`which` |
which smoothing term i.e. 1, 2 etc. Note that 0 means all. |

This function facilitates the extraction of information from a fitted additive terms. For example `getSmo(m1,"sigma",2)`

is equivalent of `m1$sigma.coefSmo[[2]]`

. To get the actual fitted values type `m1$sigma.s[[2]]`

A list containing information about a fitted smoother or a fitted objects

Mikis Stasinopoulos and Bob Rigby

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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