R: Support for Functions for smoothers

gamlss.ps {gamlss}

R Documentation

Support for Functions for smoothers

Description

Those functions are support for the functions pb(), pbo(), ps(), ridge(), ri(), cy(), pvc(), and pbm(). The functions are not intended to be called directly by users.

Usage

gamlss.pb(x, y, w, xeval = NULL, ...)
gamlss.pbo(x, y, w, xeval = NULL, ...)
gamlss.ps(x, y, w, xeval = NULL, ...)
gamlss.ri(x, y, w, xeval = NULL, ...)
gamlss.cy(x, y, w, xeval = NULL, ...)
gamlss.pvc(x, y, w, xeval = NULL, ...)
gamlss.pbm(x, y, w, xeval = NULL, ...)
gamlss.pbz(x, y, w, xeval = NULL, ...)
gamlss.pbc(x, y, w, xeval = NULL, ...)
gamlss.pbp(x, y, w, xeval = NULL, ...)

Arguments

`x`	the `x` for function `gamlss.fp` is referred to the design matric of the specific parameter model (not to be used by the user)
`y`	the `y` for function `gamlss.fp` is referred to the working variable of the specific parameter model (not to be used by the user)
`w`	the `w` for function `gamlss.fp` is referred to the iterative weight variable of the specific parameter model (not to be used by the user)
`xeval`	used in prediction
`...`	further arguments passed to or from other methods.

Value

All function return fitted smoothers.

Author(s)

Mikis Stasinopoulos mikis.stasinopoulos@gamlss.org, 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.

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/).