gamlss.random {gamlss}

Support for Functions random() and re()

Description

This is support for the functions random() and re() respectively. It is not intended to be called directly by users. .

Usage

gamlss.random(x, y, w, xeval = NULL, ...)
gamlss.re(x, y, w, xeval = NULL, ...)

Arguments

x

the explanatory design matrix

y

the response variable

w

iterative weights

xeval

it used internaly for prediction

...

for extra arguments

Value

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

Author(s)

Mikis Stasinopoulos, based on Trevor Hastie function gam.random

References

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.

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, random