detectOutliers: Algorithm To Detect Outliers
In LadR: Routines for Fit, Inference and Diagnostics in LAD Models
Description
Usage
Arguments
Value
References
Examples
Description
Algorithm To Detect Outliers
Usage
1
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, 144–158. doi: 10.1006/jmva.1997.1666
Examples
1
2
3
### Using stackloss data
detectOutliers(stack.loss, stack.x)
LadR documentation built on May 1, 2019, 7:12 p.m.
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Description Usage Arguments Value References Examples
Description
Algorithm To Detect Outliers
Usage
1 | 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, 144–158. doi: 10.1006/jmva.1997.1666
Examples
1 2 3 | ### Using stackloss data
detectOutliers(stack.loss, stack.x)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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