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ddalpha (version 1.3.16)

Depth-Based Classification and Calculation of Data Depth

Description

Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 ). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 ).

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Version

Install

install.packages('ddalpha')

Monthly Downloads

4,129

Version

1.3.16

License

GPL-2

Maintainer

Oleksii Pokotylo

Last Published

September 30th, 2024

Functions in ddalpha (1.3.16)

ddalpha.getErrorRateCV

Test DD-Classifier

ddalpha.getErrorRatePart

Test DD-Classifier

Calculate L2-Depth

ddalphaf.getErrorRatePart

Test Functional DD-Classifier

Test DD-Classifier

ddalphaf.getErrorRateCV

Test Functional DD-Classifier

Test Functional DD-Classifier

ddalphaf.classify

Classify using Functional DD-Classifier

Functional DD-Classifier

depth.qhpeeling

Calculate Convex Hull Peeling Depth

Calculate Depth

Train DD-Classifier

Fast Depth Computation for Univariate and Bivariate Random Samples

depth.contours.ddalpha

depth.space.Mahalanobis

Calculate Depth Space using Mahalanobis Depth

depth.Mahalanobis

Calculate Mahalanobis Depth

depth.halfspace

Calculate Halfspace Depth

Calculate Depth Space using the Given Depth

depth.simplicial

Calculate Simplicial Depth

depth.projection

Calculate Projection Depth

depth.potential

Calculate Potential of the Data

depth.betaSkeleton

Calculate Beta-Skeleton Depth

depth.space.simplicialVolume

Calculate Depth Space using Simplicial Volume Depth

Calculate Zonoid Depth

depth.space.halfspace

Calculate Depth Space using Halfspace Depth

depth.space.potential

Calculate Potential Space

Half-Region Depth for Functional Data

depth.simplicialVolume

Calculate Simplicial Volume Depth

Univariate Random Projection Depths for Functional Data

depth.space.spatial

Calculate Depth Space using Spatial Depth

Calculate Functional Depth

derivatives.est

Estimation of the First Two Derivatives for Functional Data

Depth-Based kNN

depth.space.projection

Calculate Depth Space using Projection Depth

depth.space.simplicial

Calculate Depth Space using Simplicial Depth

depth.space.zonoid

Calculate Depth Space using Zonoid Depth

Bivariate Random Projection Depths for Functional Data

dknn.classify.trained

Depth-Based kNN

Calculate Spatial Depth

Depth-Based kNN

Adjusted Band Depth for Functional Data

plot.functional

Plot functions for the Functional Data

Transform Raw Functional Data to a dataf Object

Band Depth for Functional Data

Data for Classification

Univariate Integrated and Infimal Depth for Functional Data

Plots for the "ddalpha" Class

Plots for the "ddalphaf" Class

Bivariate Integrated and Infimal Depth for Functional Data

Bivariate h-Mode Depth for Functional Data Based on the \(L^2\) Metric

depthf.simplicialBand

Calculate Simplicial Band Depth

shape.fd.outliers

Functional Depth-Based Shape Outlier Detection

Reset Graphical Parameters

h-Mode Depth for Functional Data

shape.fd.analysis

Diagnostic Plot for First and Second Order Integrated and Infimal Depths

Adjusted Ranking of Functional Data Based on the Infimal Depth

Check Outsiderness

Functional Data Sets

Fast Kernel Smoothing

Converts data from fdata class to the functional class.

Fast Computation of the \(L^2\) Metric for Sets of Functional Data

Fast Computation of the Uniform Metric for Sets of Functional Data

Using Custom Depth Functions and Classifiers

compclassf.classify

Classify using Functional Componentwise Classifier

compclassf.train

Functional Componentwise Classifier

dataf.population2010

World Historical Population-by-Country Dataset (2010 Revision)

dataf.sim.2.CFF07

Model 2 from Cuevas et al. (2007)

Functional Data Set Spectrometric Data (Tecator)

Gene Expression Profile Data

Berkeley Growth Study Data

Relationship of Age Patterns of Fecundity to Mortality for Female Medflies.

ddalpha.classify

Classify using DD-Classifier

dataf.population

World Historical Population-by-Country Dataset

dataf.sim.1.CFF07

Model 1 from Cuevas et al. (2007)

Transform a dataf Object to Raw Functional Data

ddalpha-package

Depth-Based Classification and Calculation of Data Depth