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

In plgraphics: User Oriented Plotting Functions

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)

Arguments

object

model fit

Value

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

Author(s)

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

plgraphics documentation built on Oct. 19, 2023, 3 p.m.