sprm (version 1.1)

summary.prm: Summary of a prm model

Description

Summarizing models of class prm.

Usage

## S3 method for class 'prm':
summary(object, ...)
## S3 method for class 'prm':
print(x, ...)

Arguments

object, x

object of class prm

...

optional arguments for internal print function.

Value

• summary prints model parameters and explained variances.

  print prints model parameters.

References

Sven Serneels et al. (2014) Sparse partial robust M regression

Serneels, S., Croux, C., Filzmoser, P., Van Espen, P.J., Partial Robust M-Regression. Chemometrics and Intelligent Laboratory Systems, 79 (2005), 55-64.

See Also

prms

Examples

set.seed(5023)
U <- c(rep(2,20), rep(5,30))
X <- replicate(6, U+rnorm(50))
beta <- c(rep(1, 3), rep(-1,3))
e <- c(rnorm(45,0,1.5),rnorm(5,-20,1))
y <- X%*%beta + e
d <- as.data.frame(X)
d$y <- y
mod <- prms(y~., data=d, a=2, fun="Hampel")
summary(mod)