summary.sprm: Summary of a sprm model

In sprm: Sparse and Non-Sparse Partial Robust M Regression and Classification

Description

Summarizing models of class sprm.

Usage

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

Arguments

object, x	object of class sprm.
...	optional arguments for internal print function.

Value

summary prints model parameters and explained variances.

print prints model parameters.

Author(s)

Irene Hoffmann

References

Hoffmann, I., Serneels, S., Filzmoser, P., Croux, C. (2015). Sparse partial robust M regression. Chemometrics and Intelligent Laboratory Systems, 149, 50-59.

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

See Also

sprms

Examples

set.seed(50235)
U1 <- c(rep(3,20), rep(4,30))
U2 <- rep(3.5,50)
X1 <- replicate(5, U1+rnorm(50))
X2 <- replicate(20, U2+rnorm(50))
X <- cbind(X1,X2)
beta <- c(rep(1, 5), rep(0,20))
e <- c(rnorm(45,0,1.5),rnorm(5,-20,1))
y <- X%*%beta + e
d <- as.data.frame(X)
d$y <- y
mod <- sprms(y~., data=d, a=1, eta=0.5, fun="Hampel")
summary(mod)

sprm documentation built on May 2, 2019, 9:57 a.m.