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ddalpha (version 1.3.15)

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

5,100

Version

1.3.15

License

GPL-2

Maintainer

Oleksii Pokotylo

Last Published

January 12th, 2024

Functions in ddalpha (1.3.15)

Fast Computation of the Uniform Metric for Sets of Functional Data

Gene Expression Profile Data

Functional Data Sets

compclassf.train

Functional Componentwise Classifier

Berkeley Growth Study Data

Converts data from fdata class to the functional class.

dataf.population2010

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

dataf.sim.1.CFF07

Model 1 from Cuevas et al. (2007)

ddalpha.classify

Classify using DD-Classifier

Calculate Depth

ddalpha.getErrorRateCV

Test DD-Classifier

Using Custom Depth Functions and Classifiers

ddalphaf.getErrorRateCV

Test Functional DD-Classifier

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

dataf.population

World Historical Population-by-Country Dataset

Fast Kernel Smoothing

Train DD-Classifier

dataf.sim.2.CFF07

Model 2 from Cuevas et al. (2007)

Functional Data Set Spectrometric Data (Tecator)

ddalphaf.getErrorRatePart

Test Functional DD-Classifier

depth.halfspace

Calculate Halfspace Depth

depth.space.projection

Calculate Depth Space using Projection Depth

Test Functional DD-Classifier

depth.simplicial

Calculate Simplicial Depth

depth.space.simplicial

Calculate Depth Space using Simplicial Depth

Calculate L2-Depth

Functional DD-Classifier

ddalphaf.classify

Classify using Functional DD-Classifier

depth.simplicialVolume

Calculate Simplicial Volume Depth

Adjusted Band Depth for Functional Data

depth.potential

Calculate Potential of the Data

depth.projection

Calculate Projection Depth

Band Depth for Functional Data

Calculate Zonoid Depth

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

Bivariate Integrated and Infimal Depth for Functional Data

depth.qhpeeling

Calculate Convex Hull Peeling Depth

Transform a dataf Object to Raw Functional Data

depth.contours.ddalpha

Fast Depth Computation for Univariate and Bivariate Random Samples

depth.space.halfspace

Calculate Depth Space using Halfspace Depth

h-Mode Depth for Functional Data

Calculate Depth Space using the Given Depth

shape.fd.outliers

Functional Depth-Based Shape Outlier Detection

ddalpha-package

Depth-Based Classification and Calculation of Data Depth

depth.space.Mahalanobis

Calculate Depth Space using Mahalanobis Depth

ddalpha.getErrorRatePart

Test DD-Classifier

Bivariate Random Projection Depths for Functional Data

Calculate Functional Depth

depth.space.potential

Calculate Potential Space

derivatives.est

Estimation of the First Two Derivatives for Functional Data

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

Univariate Integrated and Infimal Depth for Functional Data

Test DD-Classifier

depth.Mahalanobis

Calculate Mahalanobis Depth

depth.betaSkeleton

Calculate Beta-Skeleton Depth

depth.space.zonoid

Calculate Depth Space using Zonoid Depth

Depth-Based kNN

depth.space.simplicialVolume

Calculate Depth Space using Simplicial Volume Depth

Adjusted Ranking of Functional Data Based on the Infimal Depth

depthf.simplicialBand

Calculate Simplicial Band Depth

depth.space.spatial

Calculate Depth Space using Spatial Depth

Half-Region Depth for Functional Data

Univariate Random Projection Depths for Functional Data

Calculate Spatial Depth

Check Outsiderness

dknn.classify.trained

Depth-Based kNN

Depth-Based kNN

Data for Classification

plot.functional

Plot functions for the Functional Data

Plots for the "ddalpha" Class

Plots for the "ddalphaf" Class

Reset Graphical Parameters

shape.fd.analysis

Diagnostic Plot for First and Second Order Integrated and Infimal Depths

Transform Raw Functional Data to a dataf Object

compclassf.classify

Classify using Functional Componentwise Classifier