Search Results:

Showing results 1 to 10 of 24.


Function outlier1dv [mbgraphic v1.0.1]
keywords
outliers
title
Outlier measure based on tukey definition
description
Creates a matrix of outlier scores for the data set based on Tukey's defnition.
Function outliertuk [mbgraphic v1.0.1]
keywords
outliers
title
Outlier classification
description
Creates a matrix of outlier classification ("outl" or "non") for the data set based on Tukey's defnition.
Function Outliers.fdata [fda.usc v2.0.2]
keywords
outliers
title
outliers for functional dataset
description
Procedure for detecting funcitonal outliers.
Function influence.fregre.fd [fda.usc v2.0.2]
keywords
outliers
title
Functional influence measures
description
Once estimated the functional regression model with scalar response, influence.fregre.fd function is used to obtain the functional influence measures.
Function influence_quan [fda.usc v2.0.2]
keywords
outliers
title
Quantile for influence measures
description
Estimate the quantile of measures of influence for each observation.
Function SMLoutliers-package [SMLoutliers v0.1]
keywords
outliers
title
description
We intend to provide host of methods for identifying outliers. This will cut across statistical and machine learning methods.
Function outliers_mad [Routliers v0.0.0.3]
keywords
outliers
title
MAD function to detect outliers
description
Detecting univariate outliers using the robust median absolute deviation
Function outliers_mcd [Routliers v0.0.0.3]
keywords
outliers
title
MCD function to detect outliers
description
Detecting multivariate outliers using the Minimum Covariance Determinant approach
Function outliers_mahalanobis [Routliers v0.0.0.3]
keywords
outliers
title
mahalanobis function to detect outliers
description
Detecting multivariate outliers using the Mahalanobis distance
Function fitted_Vol [RobGARCHBoot v1.0.0]
keywords
Outliers
title
Estimated Volatility
description
Using the robust estimated parameters of Boudt et al. (2013) and Truc<U+00ED>os et at. (2017), we obtain the estimated volatility.