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mrfDepth (version 1.0.3)

Depth Measures in Multivariate, Regression and Functional Settings

Description

Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.

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Version

Install

install.packages('mrfDepth')

Monthly Downloads

535

Version

1.0.3

License

GPL (>= 2)

Maintainer

Pieter Segaert

Last Published

April 1st, 2017

Functions in mrfDepth (1.0.3)

Regression depth of hyperplanes

Stahel-Donoho outlyingness of points relative to a dataset

Multivariate functional depth for functional data

Blood data for patients with narrowing arteries

Rainbow plot for bivariate data

Skewness-adjusted projection depth of points relative to a dataset

Location estimates based on halfspace depth.

Draws depth contours of bivariate data

Draws a bagplot, a bivariate boxplot

Composition of elements in soil samples around the Baltic Sea

Depth contours of multivariate data

Near infrared spectra of gasoline samples.

Adjusted outlyingness of points relative to a dataset

A robust measure of skewness for univariate data

EXPMA spectra of glass samples

Hyperplane of maximal regression depth

Projection depth of points relative to a dataset

Functional outlyingness measures for functional data

Multivariate functional median for functional data.

Halfspace depth of points relative to a dataset

Car data from Consumer Reports in 1990

Location estimate based on the halfspace depth

Simplicial depth of points relative to a dataset

Draws the Functional Outlier Map (FOM)

characterTrajectories

Character Trajectories Data Set

Bagdistance of points relative to a dataset

Location estimates based on skewness-adjusted projection depth.

Location estimates based on projection depth.

Test for angular symmetry around a specified center for bivariate data

Test for linearity of the conditional median in simple regression