CV.S                    The cross-validation (CV) score
Depth                   Provides the depth measure for functional data
Depth.Multivariate      Provides the depth measure for multivariate
                        data
Depth.pfdata            Provides the depth measure for a list of
                        p-functional data objects
Descriptive             Descriptive measures for functional data.
FDR                     False Discorvery Rate (FDR)
GCCV.S                  The generalized correlated cross-validation
                        (GCCV) score.
GCV.S                   The generalized cross-validation (GCV) score.
Kernel                  Symmetric Smoothing Kernels.
Kernel.asymmetric       Asymmetric Smoothing Kernel
Kernel.integrate        Integrate Smoothing Kernels.
MCO                     Mithochondiral calcium overload (MCO) data set
Math.fdata              fdata S3 Group Generic Functions
Outliers.fdata          Detecting outliers for functional dataset
P.penalty               Penalty matrix for higher order differences
PCvM.statistic          PCvM statistic for the Functional Linear Model
                        with scalar response
S.basis                 Smoothing matrix with roughness penalties by
                        basis representation.
S.np                    Smoothing matrix by nonparametric methods.
Var.y                   Sampling Variance estimates
[.fdata                 fda.usc internal functions
aemet                   aemet data
anova.RPm               Functional ANOVA with Random Project.
anova.hetero            ANOVA for heteroscedastic data
anova.onefactor         One-way anova model for functional data
classif.DD              DD-Classifier Based on DD-plot
classif.depth           Classifier from Functional Data
classif.gkam            Classification Fitting Functional Generalized
                        Kernel Additive Models
classif.glm             Classification Fitting Functional Generalized
                        Linear Models
classif.gsam            Classification Fitting Functional Generalized
                        Additive Models
classif.np              Kernel Classifier from Functional Data
classif.tree            Classification Fitting Functional Recursive
                        Partitioning and Regression Trees
cond.F                  Conditional Distribution Function
cond.mode               Conditional mode
cond.quantile           Conditional quantile
create.fdata.basis      Create Basis Set for Functional Data of fdata
                        class
dcor.xy                 Distance Correlation Statistic and t-Test
dev.S                   The deviance score .
dfv.test                Delsol, Ferraty and Vieu test for no
                        functional-scalar interaction
dis.cos.cor             Proximities between functional data
fda.usc-package         Functional Data Analysis and Utilities for
                        Statistical Computing (fda.usc)
fdata                   Converts raw data or other functional data
                        classes into fdata class.
fdata.bootstrap         Bootstrap samples of a functional statistic
fdata.cen               Functional data centred (subtract the mean of
                        each discretization point)
fdata.deriv             Computes the derivative of functional data
                        object.
fdata2fd                Converts fdata class object into fd class
                        object
fdata2pc                Principal components for functional data
fdata2pls               Partial least squares components for functional
                        data.
flm.Ftest               F-test for the Functional Linear Model with
                        scalar response
flm.test                Goodness-of-fit test for the Functional Linear
                        Model with scalar response
fregre.basis            Functional Regression with scalar response
                        using basis representation.
fregre.basis.cv         Cross-validation Functional Regression with
                        scalar response using basis representation.
fregre.basis.fr         Functional Regression with functional response
                        using basis representation.
fregre.bootstrap        Bootstrap regression
fregre.gkam             Fitting Functional Generalized Kernel Additive
                        Models.
fregre.glm              Fitting Functional Generalized Linear Models
fregre.gls              Fit Functional Linear Model Using Generalized
                        Least Squares
fregre.gsam             Fitting Functional Generalized Spectral
                        Additive Models
fregre.igls             Fit of Functional Generalized Least Squares
                        Model Iteratively
fregre.lm               Fitting Functional Linear Models
fregre.np               Functional regression with scalar response
                        using non-parametric kernel estimation
fregre.np.cv            Cross-validation functional regression with
                        scalar response using kernel estimation.
fregre.pc               Functional Regression with scalar response
                        using Principal Components Analysis.
fregre.pc.cv            Functional penalized PC regression with scalar
                        response using selection of number of PC
                        components
fregre.plm              Semi-functional partially linear model with
                        scalar response.
fregre.pls              Functional Penalized PLS regression with scalar
                        response
fregre.pls.cv           Functional penalized PLS regression with scalar
                        response using selection of number of PLS
                        components
fregre.ppc              Functional Penalized PC (or PLS) regression
                        with scalar response
fregre.ppc.cv           Functional penalized PC (or PLS) regression
                        with scalar response using selection of number
                        of PC (or PLS) components
gridfdata               Utils for generate functional data
h.default               Calculation of the smoothing parameter (h) for
                        a functional data
influence.fdata         Functional influence measures
influence.quan          Quantile for influence measures
inprod.fdata            Inner products of Functional Data Objects o
                        class (fdata)
int.simpson             Simpson integration
kmeans.fd               K-Means Clustering for functional data
metric.dist             Distance Matrix Computation
metric.hausdorff        Compute the Hausdorff distances between two
                        curves.
metric.kl               Kullback-Leibler distance
metric.lp               Aproximates Lp-metric distances for functional
                        data.
min.basis               Select the number of basis using GCV method.
min.np                  Smoothing of functional data using
                        nonparametric kernel estimation
na.omit.fdata           A wrapper for the na.omit and na.fail function
                        for fdata object
norm.fdata              Aproximates Lp-norm for functional data.
order.fdata             A wrapper for the 'order' function
phoneme                 phoneme data
plot.fdata              Plot functional data: fdata.
poblenou                poblenou data
predict.classif         Predicts from a fitted classif object.
predict.classif.DD      Predicts from a fitted classif.DD object.
predict.fregre.fd       Predict method for functional linear model
                        (fregre.fd class)
predict.fregre.fr       Predict method for functional response model
predict.fregre.gls      Predictions from a functional gls object
predict.fregre.lm       Predict method for functional regression model
rp.flm.statistic        Statistic for testing the FLM using random
                        projections
rp.flm.test             Goodness-of-fit test for the Functional Linear
                        Model with scalar response using random
                        projections
rproc2fdata             Simulate several random processes.
rwild                   Wild bootstrap residuals
semimetric.NPFDA        Proximities between functional data
                        (semi-metrics)
semimetric.basis        Proximities between functional data
split.fdata             A wrapper for the split and unlist function for
                        fdata object
subset.fdata            Subsetting
summary.classif         Summarizes information from kernel
                        classification methods.
summary.fdata.comp      Correlation for functional data by Principal
                        Component Analysis
summary.fregre.fd       Summarizes information from fregre.fd objects.
summary.fregre.gkam     Summarizes information from fregre.gkam
                        objects.
tecator                 tecator data
