glim.control: Auxiliary for Controlling the inner algorithm in a GAMLSS...

In gamlss: Generalised Additive Models for Location Scale and Shape

Auxiliary for Controlling the inner algorithm in a GAMLSS Fitting

Description

Auxiliary function used for the inner iteration of gamlss algorithm. Typically only used when calling gamlss function through the option i.control.

Usage

glim.control(cc = 0.001, cyc = 50,  glm.trace = FALSE, 
             bf.cyc = 30, bf.tol = 0.001, bf.trace = FALSE, 
             ...)

Arguments

cc	the convergence criterion for the algorithm
cyc	the number of cycles of the algorithm
glm.trace	whether to print at each iteration (TRUE) or not (FALSE)
bf.cyc	the number of cycles of the backfitting algorithm
bf.tol	the convergence criterion (tolerance level) for the backfitting algorithm
bf.trace	whether to print at each iteration (TRUE) or not (FALSE, the default)
...	for extra arguments

Value

A list with the arguments as components

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

Examples

data(aids)
con<-glim.control(glm.trace=TRUE)
h<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids, i.control=con) # 
rm(h,con)

gamlss documentation built on Oct. 4, 2023, 5:08 p.m.