detectOutliers: Outlier Detection
In fincov: Methods for estimating covariance matrices
Description
Detect outliers using classical and robust estimates of
mahalanobis distance.
Usage
1
2
3
detectOutliers(R,
method = c("mcd", "m_estimate", "mm_estimate", "mve", "ogk", "sde", "s_estimate"),
quantile = 0.975, threshold = NULL)
Arguments
R
method
method to compute robust estimate of
location and scalde used in computing the robust
mahalanobis distance.
quantile
fincov documentation built on May 2, 2019, 5:17 p.m.
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Description
Detect outliers using classical and robust estimates of mahalanobis distance.
Usage
1 2 3 | detectOutliers(R,
method = c("mcd", "m_estimate", "mm_estimate", "mve", "ogk", "sde", "s_estimate"),
quantile = 0.975, threshold = NULL)
|
Arguments
R |
|
method |
method to compute robust estimate of location and scalde used in computing the robust mahalanobis distance. |
quantile |
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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