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 d.stasinopoulos@londonmet.ac.uk, Bob Rigby

### References

Eilers, P. H. C. and Marx, B. D. (1996). Flexible smoothing with B-splines and penalties (with comments and rejoinder). Statist. Sci, 11, 89-121.

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`, `pb`, `ps`, `ri`,`ridge`,`cy`,`pvc`,`pbm`

[Package gamlss version 5.3-2 Index]