fitted.PCR {gamlss.foreach}

Methods for PCR objects

Description

The functions below are methods for PCR objects

Usage

## S3 method for class 'PCR'
fitted(object, pc = object$pc, ...)
## S3 method for class 'PCR'
plot(x, type = c("path", "gaic"),
                   labels = TRUE, cex = 0.8, ...)
## S3 method for class 'PCR'
coef(object, param = c("gamma", "beta"), 
              pc = object$pc, ...)
## S3 method for class 'PCR'
predict(object, newdata = NULL, 
                pc = object$pc, ...)
## S3 method for class 'PCR'
vcov(object, pc = object$pc, 
        type = c("vcov", "cor", "se", "all"),
                      ...)

Arguments

object, x

an PCR object

pc

the number of PC (by default the one minimising the local GAIC)

type

for plot() whether to plot the path of coefficients or the path of GAIC and for vcov() whether variance covariance, correlation or se's

param

getting the gamma or the beta coefficients

newdata

new data for prediction

labels

whether to plot the labels of the variables

cex

the size of the text when plotting the labels of the variables

...

for extra arguments

Author(s)

Mikis Stasinopoulos [e-mail], Bob Rigby and Fernada De Bastiani

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.

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

fitPCR