| gamlss.random {gamlss} | R Documentation |
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, ...)
x |
the explanatory design matrix |
y |
the response variable |
w |
iterative weights |
xeval |
it used internaly for prediction |
... |
for extra arguments |
Returns a list with
y |
the fitted values |
residuals |
the residuals |
var |
the variance of the fitted values |
lambda |
the final lambda, the smoothing parameter |
coefSmo |
with value NULL |
Mikis Stasinopoulos, based on Trevor Hastie function gam.random
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. 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.