plgraphics (version 1.2)

linear.predictors: linear predictors from a (generalized) linear model

Description

extracts the linear.predictor component of a model object, taking 'na.resid' into account, in analogy to 'residuals' or 'fitted.values'

Usage

linear.predictors(object)

Value

vector (or, for models inheriting from 'multinom', matrix) of linear predictor values

Arguments

object

model fit

Author

Werner A. Stahel

See Also

fitted.values

Examples

## example from 'glm'
clotting <- data.frame(
u = c(5,10,15,20,30,40,60,80,100),
lot1 = c(118,58,NA,35,27,25,21,19,18), ## NA inserted instead of 42
lot2 = c(69,35,26,21,18,16,13,12,12))

r.gam  <- glm(lot1 ~ log(u), data = clotting, family = Gamma)
linear.predictors(r.gam)
## 8 elements; 3rd missing.
r.gex  <- glm(lot1 ~ log(u), data = clotting, family = Gamma,
              na.action=na.exclude)
linear.predictors(r.gex)
## 9 elements, third is NA