This is support for the functions random()
and re()
respectively.
It is not intended to be called directly by users.
.
gamlss.random(x, y, w)
gamlss.re(x, y, w, xeval = NULL, ...)
the explanatory design matrix
the response variable
iterative weights
it used internaly for prediction
for extra arguments
Returns a list with
the fitted values
the residuals
the variance of the fitted values
the final lambda, the smoothing parameter
with value NULL
Chambers, J. M. and Hastie, T. J. (1991). Statistical Models in S, Chapman and Hall, London.
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. (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.org/).