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mrfDepth

The latest development version of mrfDepth may be installed from GitHub using

install.packages("devtools")

devtools::install_github("PSegaert/mrfDepth")

When installing the development version from GitHub on Windows, make sure that Rtools is installed first.

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Version

Install

install.packages('mrfDepth')

Monthly Downloads

578

Version

1.0.17

License

GPL (>= 2)

Maintainer

Jakob Raymaekers

Last Published

May 24th, 2024

Functions in mrfDepth (1.0.17)

Blood data for patients with narrowing arteries

Bagdistance of points relative to a dataset

Computations for drawing a bagplot

Adjusted outlyingness of points relative to a dataset

Depth contours of multivariate data

Car data from Consumer Reports in 1990

Writing trajectories of the letter 'a'

Test for linearity of the conditional median in simple regression

Writing trajectories of the letter i

Halfspace depth of points relative to a dataset

Location estimates based on directional projection depth

Composition of elements in soil samples around the Baltic Sea

Directional projection depth of points relative to a dataset

EXPMA spectra of glass samples

Directional outlyingness of points relative to a dataset

Draws a heatmap of functional depth values or distances

Functional outlyingness measures for functional data

Draws the Functional Outlier Map (FOM)

Location estimates based on halfspace depth.

Intensities of MRI images

Multivariate functional depth for functional data

Rainbow plot for bivariate data

Stahel-Donoho outlyingness of points relative to a dataset

A robust measure of skewness for univariate data

Near infrared spectra of gasoline samples

Multivariate functional median for functional data

Fighter plane dataset

Draws depth contours of bivariate data

Location estimates based on skewness-adjusted projection depth

Test for angular symmetry around a specified center for bivariate data

Hyperplane of maximal regression depth

Near Infrared Spectroscopy responses for a batch of pills

Projection depth of points relative to a dataset

Regression depth of hyperplanes

Location estimates based on projection depth

Proton Nuclear Magnetic Resonance spectra of 40 different wine samples

Simplicial depth of points relative to a dataset

Skewness-adjusted projection depth of points relative to a dataset

Draws a bagplot, a bivariate boxplot