gamlss.ga: Support for Function ga() and ba()

In gamlss.add: Extra Additive Terms for Generalized Additive Models for Location Scale and Shape

Description

This is support for the smoother functions ga() and ba() intefaces for Simon Woood's gam() and bam() functions from package mgcv. It is not intended to be called directly by users.

Usage

gamlss.ga(x, y, w, xeval = NULL, ...)
gamlss.ba(x, y, w, xeval = NULL, ...)

Arguments

x	the explanatory variables
y	iterative y variable
w	iterative weights
xeval	if xeval=TRUE then predicion is used
...	for extra arguments

Author(s)

Mikis Stasinopoulos [e-mail], 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., and De Bastiani F., (2019) Distributions for Modeling Location, Scale and Shape: Using GAMLSS in R, Chapman and Hall/CRC.

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, http://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 http://www.gamlss.com/).

Wood S.N. (2006) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.

gamlss.add documentation built on Feb. 4, 2020, 9:08 a.m.