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.
gamlss.ga(x, y, w, xeval = NULL, ...)gamlss.ba(x, y, w, xeval = NULL, ...)
the explanatory variables
iterative y variable
iterative weights
if xeval=TRUE then predicion is used
for extra arguments
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.
Stasinopoulos D. M., Rigby R.A. and Akantziliotou C. (2006) Instructions on how to use the GAMLSS package in R. Accompanying documentation in the current GAMLSS help files, (see also http://www.gamlss.org/).
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.
Wood S.N. (2006) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.