refit: Refit a GAMLSS model

In gamlss: Generalized Additive Models for Location Scale and Shape

Refit a GAMLSS model

Description

This function refits a GAMLSS model. It is useful when the algorithm has not converged after 20 outer iteration (the default value)

Usage

refit(object, ...)

Arguments

object	a GAMLSS fitted model which has not converged
...	for extra arguments

Details

This function is useful when the iterations have reach the maximum value set by the code(n.cyc) of the gamlss.control function and the model has not converged yet

Value

Returns a GAMLSS fitted model

Note

The function update does a very similar job

Author(s)

Mikis Stasinopoulos, Bob Rigby

References

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/).

See Also

gamlss, update.gamlss

Examples

data(aids)
h<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids) # 
refit(h)
rm(h)

gamlss documentation built on May 29, 2024, 6:08 a.m.