This file is indexed.

/usr/lib/R/site-library/ddalpha/INDEX is in r-cran-ddalpha 1.3.1-1.

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The actual contents of the file can be viewed below.

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Cmetric                 Fast Computation of the Uniform Metric for Sets
                        of Functional Data
Custom Methods          Using Custom Depth Functions and Classifiers
FKS                     Fast Kernel Smoothing
L2metric                Fast Computation of the L^2 Metric for Sets of
                        Functional Data
compclassf.classify     Classify using Functional Componentwise
                        Classifier
compclassf.train        Functional Componentwise Classifier
dataf.*                 Functional Data Sets
dataf.geneexp           Gene Expression Profile Data
dataf.growth            Berkeley Growth Study Data
dataf.medflies          Relationship of Age Patterns of Fecundity to
                        Mortality for Female Medflies.
dataf.population        World Historical Population-by-Country Dataset
dataf.population2010    World Historical Population-by-Country Dataset
                        (2010 Revision)
dataf.sim.1.CFF07       Model 1 from Cuevas et al. (2007)
dataf.sim.2.CFF07       Model 2 from Cuevas et al. (2007)
dataf.tecator           Functional Data Set Spectrometric Data
                        (Tecator)
dataf2rawfd             Transform a 'dataf' Object to Raw Functional
                        Data
ddalpha-package         Depth-Based Classification and Calculation of
                        Data Depth
ddalpha.classify        Classify using DD-Classifier
ddalpha.getErrorRateCV
                        Test DD-Classifier
ddalpha.getErrorRatePart
                        Test DD-Classifier
ddalpha.test            Test DD-Classifier
ddalpha.train           Train DD-Classifier
ddalphaf.classify       Classify using Functional DD-Classifier
ddalphaf.getErrorRateCV
                        Test Functional DD-Classifier
ddalphaf.getErrorRatePart
                        Test Functional DD-Classifier
ddalphaf.test           Test Functional DD-Classifier
ddalphaf.train          Functional DD-Classifier
depth.                  Calculate Depth
depth.Mahalanobis       Calculate Mahalanobis Depth
depth.contours          Depth Contours
depth.contours.ddalpha
                        Depth Contours
depth.graph             Depth Graph
depth.halfspace         Calculate Halfspace Depth
depth.potential         Calculate Potential of the Data
depth.projection        Calculate Projection Depth
depth.sample            Fast Depth Computation for Univariate and
                        Bivariate Random Samples
depth.simplicial        Calculate Simplicial Depth
depth.simplicialVolume
                        Calculate Simplicial Volume Depth
depth.space.            Calculate Depth Space using the Given Depth
depth.space.Mahalanobis
                        Calculate Depth Space using Mahalanobis Depth
depth.space.halfspace   Calculate Depth Space using Halfspace Depth
depth.space.potential   Calculate Potential Space
depth.space.projection
                        Calculate Depth Space using Projection Depth
depth.space.simplicial
                        Calculate Depth Space using Simplicial Depth
depth.space.simplicialVolume
                        Calculate Depth Space using Simplicial Volume
                        Depth
depth.space.spatial     Calculate Depth Space using Spatial Depth
depth.space.zonoid      Calculate Depth Space using Zonoid Depth
depth.spatial           Calculate Spatial Depth
depth.zonoid            Calculate Zonoid Depth
depthf.                 Calculate Functional Depth
depthf.ABD              Adjusted Band Depth for Functional Data
depthf.BD               Band Depth for Functional Data
depthf.HR               Half-Region Depth for Functional Data
depthf.RP1              Univariate Random Projection Depths for
                        Functional Data
depthf.RP2              Bivariate Random Projection Depths for
                        Functional Data
depthf.fd1              Univariate Integrated and Infimal Depth for
                        Functional Data
depthf.fd2              Bivariate Integrated and Infimal Depth for
                        Functional Data
depthf.hM               h-Mode Depth for Functional Data
depthf.hM2              Bivariate h-Mode Depth for Functional Data
                        Based on the L^2 Metric
derivatives.est         Estimation of the First Two Derivatives for
                        Functional Data
dknn.classify           Depth-Based kNN
dknn.classify.trained   Depth-Based kNN
dknn.train              Depth-Based kNN
draw.ddplot             Draw _DD_-Plot
getdata                 Data for Classification
infimalRank             Adjusted Ranking of Functional Data Based on
                        the Infimal Depth
is.in.convex            Check Outsiderness
plot.ddalpha            Plots for the "ddalpha" Class
plot.ddalphaf           Plots for the "ddalphaf" Class
plot.functional         Plot functions for the Functional Data
rawfd2dataf             Transform Raw Functional Data to a 'dataf'
                        Object
resetPar                Reset Graphical Parameters
shape.fd.analysis       Diagnostic Plot for First and Second Order
                        Integrated and Infimal Depths
shape.fd.outliers       Functional Depth-Based Shape Outlier Detection