LadR (version 1.0.6)

detectOutliers: Algorithm To Detect Outliers

Description

Algorithm To Detect Outliers

Usage

detectOutliers(y, X, intercepto = 1)

Arguments

y

A vector with response variables.

X

A matrix or vector with explanatory variables.

intercepto

1 for a model with intercept and 0 for a model without intercept.

Value

outliers

A vector with outliers indices.

.

References

Dodge, Y. (1997) Lad regression for detecting outliers in response and explanatory variables. Journal of Multivariate Analysis, 61, 144<U+2013>158. 10.1006/jmva.1997.1666

Examples

# NOT RUN {
### Using stackloss data

detectOutliers(stack.loss, stack.x)
# }