fda.usc: Functional Data Analysis and Utilities for Statistical Computing

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Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.

Author
Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Date of publication
2016-11-14 12:33:41
Maintainer
Manuel Oviedo de la Fuente <manuel.oviedo@usc.es>
License
GPL-2
Version
1.3.0
URLs

View on CRAN

Man pages

aemet
aemet data
anova.hetero
ANOVA for heteroscedastic data
anova.onefactor
One-way anova model for functional data
anova.RPm
Functional ANOVA with Random Project.
classif.DD
DD-Classifier Based on DD-plot
classif.depth
Classifier from Functional Data
classif.gkam
Classification Fitting Functional Generalized Kernel Additive...
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...
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
CV.S
The cross-validation (CV) score
DepthFunctional
Provides the depth measure for functional data
DepthFunctionalIntegrate
Provides the depth measure for a list of p-functional data...
DepthMultivariate
Provides the depth measure for multivariate data
Descriptive
Descriptive measures for functional data.
dev.S
The deviance score .
dfv.test
Delsol, Ferraty and Vieu test for no functional-scalar...
dis.cos.cor
Proximities between functional data
fdata
Converts raw data or other functional data classes into fdata...
fdata2fd
Converts fdata class object into fd class object
fdata2pc
Principal components for functional data
fdata2pls
Partial least squares components for functional data.
fdata.bootstrap
Bootstrap samples of a functional statistic
fdata.cen
Functional data centred (subtract the mean of each...
fdata.deriv
Computes the derivative of functional data object.
fdata.methods
fdata S3 Group Generic Functions
fda.usc.internal
fda.usc internal functions
fda.usc-package
Functional Data Analysis and Utilities for Statistical...
FDR
False Discorvery Rate (FDR)
flm.Ftest
F-test for the Functional Linear Model with scalar response
flm.test
Goodness-of-fit test for the Functional Linear Model with...
fregre.basis
Functional Regression with scalar response using basis...
fregre.basis.cv
Cross-validation Functional Regression with scalar response...
fregre.basis.fr
Functional Regression with functional response using basis...
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...
fregre.np.cv
Cross-validation functional regression with scalar response...
fregre.pc
Functional Regression with scalar response using Principal...
fregre.pc.cv
Functional penalized PC regression with scalar response using...
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...
fregre.ppls
Functional Penalized PC (or PLS) regression with scalar...
fregre.ppls.cv
Functional penalized PC (or PLS) regression with scalar...
GCCV.S
The generalized correlated cross-validation (GCCV) score.
GCV.S
The generalized cross-validation (GCV) score.
gridfdata
Utils for generate functional data
h.default
Calculation of the smoothing parameter (h) for a functional...
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
Kernel
Symmetric Smoothing Kernels.
Kernel.asymmetric
Asymmetric Smoothing Kernel
Kernel.integrate
Integrate Smoothing Kernels.
kmeans.fd
K-Means Clustering for functional data
MCO
Mithochondiral calcium overload (MCO) data set
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...
norm.fdata
Aproximates Lp-norm for functional data.
order.fdata
A wrapper for the 'order' function
Outliers.fdata
Detecting outliers for functional dataset
PCvM.statistic
PCvM statistic for the Functional Linear Model with scalar...
phoneme
phoneme data
plot.fdata
Plot functional data: fdata.
poblenou
poblenou data
P.penalty
Penalty matrix for higher order differences
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.functional
Predict method for functional response model
predict.fregre.gls
Predictions from a functional gls object
predict.fregre.scalar
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...
rproc2fdata
Simulate several random processes.
rwild
Wild bootstrap residuals
S.basis
Smoothing matrix with roughness penalties by basis...
semimetric.basis
Proximities between functional data
semimetric.NPFDA
Proximities between functional data (semi-metrics)
S.np
Smoothing matrix by nonparametric methods.
split_omit.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...
summary.fregre.fd
Summarizes information from fregre.fd objects.
summary.fregre.gkam
Summarizes information from fregre.gkam objects.
tecator
tecator data
Var.y
Sampling Variance estimates

Files in this package

fda.usc
fda.usc/inst
fda.usc/inst/CITATION
fda.usc/inst/script
fda.usc/inst/script/jss757.R
fda.usc/inst/script/flm_beta_estimation_brownian_data.R
fda.usc/inst/script/Outliers_fdata.R
fda.usc/src
fda.usc/src/rp_stat.f90
fda.usc/src/Adot.f90
fda.usc/src/PCvM_statistic.f90
fda.usc/NAMESPACE
fda.usc/NEWS
fda.usc/data
fda.usc/data/tecator.rda
fda.usc/data/poblenou.rda
fda.usc/data/aemet.rda
fda.usc/data/MCO.rda
fda.usc/data/phoneme.rda
fda.usc/data/datalist
fda.usc/R
fda.usc/R/predict.fregre.gkam.R
fda.usc/R/rp.flm.test2.R
fda.usc/R/cond.quantile.R
fda.usc/R/func.mean.formula.r
fda.usc/R/influence.fdata.R
fda.usc/R/fregre.plm.R
fda.usc/R/fregre.igls.r
fda.usc/R/is.fdata.R
fda.usc/R/print.fregre.fd.r
fda.usc/R/fregre.gls.r
fda.usc/R/fregre.basis.cv.R
fda.usc/R/anova.hetero.R
fda.usc/R/metric.kl.r
fda.usc/R/fdata.deriv.R
fda.usc/R/depth.RPD.r
fda.usc/R/depth.FM.r
fda.usc/R/predict.fregre.glm.R
fda.usc/R/fdata.bootstrap.r
fda.usc/R/Descriptive.R
fda.usc/R/corStruct.R
fda.usc/R/fregre.lm.r
fda.usc/R/split.fdata.r
fda.usc/R/predict.fregre.igls.r
fda.usc/R/CV.S.R
fda.usc/R/min.basis.R
fda.usc/R/fregre.gsam.R
fda.usc/R/S.basis.R
fda.usc/R/semimetric.basis.R
fda.usc/R/S.KNN.R
fda.usc/R/metric.hausdorff.R
fda.usc/R/par.fda.usc.r
fda.usc/R/semimetric.NPFDA.r
fda.usc/R/dev.S.R
fda.usc/R/print.classif.r
fda.usc/R/kmeans.fd.R
fda.usc/R/depth.RPp.r
fda.usc/R/fregre.basis.fr.r
fda.usc/R/omit.fdata.R
fda.usc/R/plot.fdata.R
fda.usc/R/anova.onefactor.R
fda.usc/R/rproc2fdata.R
fda.usc/R/fregre.np.r
fda.usc/R/predict.gls.nlme.r
fda.usc/R/flm.test.R
fda.usc/R/kmeans.center.ini.R
fda.usc/R/depth.RP.r
fda.usc/R/metric.dist.R
fda.usc/R/depth.mode.r
fda.usc/R/dis.cos.cor.R
fda.usc/R/depth.SD.R
fda.usc/R/anova.RPm.boot.R
fda.usc/R/fdata.R
fda.usc/R/GCV.S.R
fda.usc/R/dcor.fdist.r
fda.usc/R/outliers.depth.trim.r
fda.usc/R/fdata.methods.R
fda.usc/R/norm.fdata.r
fda.usc/R/plot.lfdata.R
fda.usc/R/summary.classif.R
fda.usc/R/classif.gkam.R
fda.usc/R/FDR.R
fda.usc/R/depth.RT.r
fda.usc/R/create.fdata.basis.R
fda.usc/R/predict.fregre.fd.r
fda.usc/R/classif.glm.R
fda.usc/R/S.LLR.R
fda.usc/R/Var.y.R
fda.usc/R/metric.lp.R
fda.usc/R/predict.fregre.gsam.R
fda.usc/R/inprod.fdata.R
fda.usc/R/fregre.gkam.r
fda.usc/R/outliers.depth.pond.r
fda.usc/R/Kernel.asymmetric.R
fda.usc/R/classif.DD.r
fda.usc/R/predict.fregre.fr.r
fda.usc/R/depth.multivariate.R
fda.usc/R/fdata2fd.R
fda.usc/R/kernels.R
fda.usc/R/traza.R
fda.usc/R/fregre.bootstrap.r
fda.usc/R/classif.depth.R
fda.usc/R/kmeans.assig.groups.R
fda.usc/R/corSigma.R
fda.usc/R/predict.classif.npp.R
fda.usc/R/predict.fregre.gls.r
fda.usc/R/predict.classif.R
fda.usc/R/classif.np.r
fda.usc/R/h.default.R
fda.usc/R/fregre.PPC.PPLSdeprecated.R
fda.usc/R/classif.univariate.R
fda.usc/R/influence.quan.R
fda.usc/R/quantile.outliers.trim.r
fda.usc/R/depth.band.r
fda.usc/R/fdata.cen.R
fda.usc/R/cond.mode.R
fda.usc/R/depth.KFSD.R
fda.usc/R/anova.RPm.R
fda.usc/R/outliers.lrt.r
fda.usc/R/outliers.thres.lrt.r
fda.usc/R/summary.anova.R
fda.usc/R/subset.lfdata.R
fda.usc/R/auxiliar.R
fda.usc/R/classif.tree.R
fda.usc/R/Kernel.R
fda.usc/R/flm.Ftest.R
fda.usc/R/kmeans.centers.update.R
fda.usc/R/fregre.np.cv.r
fda.usc/R/cond.F.R
fda.usc/R/dcor.fdist2.r
fda.usc/R/fregre.glm.R
fda.usc/R/predict.classif.DD.R
fda.usc/R/GCCV.S.R
fda.usc/R/predict.fregre.plm.R
fda.usc/R/min.np.r
fda.usc/R/summary.fregre.fd.r
fda.usc/R/summary.fdata.comp.r
fda.usc/R/PPC.PPLS.R
fda.usc/R/classif.DD.aux.r
fda.usc/R/order.fdata.r
fda.usc/R/plot.bifd.R
fda.usc/R/classif.np.ldata.R
fda.usc/R/predict.fregre.lm.R
fda.usc/R/classif.gsam.R
fda.usc/R/int.simpson.R
fda.usc/R/fda.usc.internal.R
fda.usc/R/na.omit.fdata.R
fda.usc/R/S.NW.R
fda.usc/R/fregre.PPC.PPLS.R
fda.usc/R/quantile.outliers.pond.r
fda.usc/R/Ginv.R
fda.usc/R/Var.e.r
fda.usc/R/fregre.basis.R
fda.usc/R/dfv.test.R
fda.usc/MD5
fda.usc/DESCRIPTION
fda.usc/man
fda.usc/man/anova.RPm.Rd
fda.usc/man/fregre.pls.Rd
fda.usc/man/metric.dist.Rd
fda.usc/man/dis.cos.cor.Rd
fda.usc/man/metric.hausdorff.Rd
fda.usc/man/Kernel.asymmetric.Rd
fda.usc/man/summary.fdata.comp.Rd
fda.usc/man/fda.usc.internal.Rd
fda.usc/man/fregre.gls.Rd
fda.usc/man/fregre.gsam.Rd
fda.usc/man/dfv.test.Rd
fda.usc/man/predict.fregre.functional.Rd
fda.usc/man/S.np.Rd
fda.usc/man/fregre.igls.Rd
fda.usc/man/summary.fregre.fd.Rd
fda.usc/man/predict.fregre.scalar.Rd
fda.usc/man/na.omit.rd
fda.usc/man/cond.quantile.Rd
fda.usc/man/FDR.Rd
fda.usc/man/fdata2pc.Rd
fda.usc/man/Var.y.Rd
fda.usc/man/fregre.ppls.Rd
fda.usc/man/predict.classif.Rd
fda.usc/man/tecator.Rd
fda.usc/man/fregre.pc.Rd
fda.usc/man/min.np.Rd
fda.usc/man/classif.tree.Rd
fda.usc/man/fregre.gkam.Rd
fda.usc/man/fdata.cen.Rd
fda.usc/man/Kernel.integrate.Rd
fda.usc/man/rp.flm.test.Rd
fda.usc/man/Descriptive.Rd
fda.usc/man/CV.S.Rd
fda.usc/man/DepthMultivariate.Rd
fda.usc/man/semimetric.NPFDA.Rd
fda.usc/man/anova.hetero.Rd
fda.usc/man/DepthFunctional.Rd
fda.usc/man/dev.S.Rd
fda.usc/man/influence.quan.Rd
fda.usc/man/dcor.test.rd
fda.usc/man/classif.glm.Rd
fda.usc/man/cond.mode.Rd
fda.usc/man/fdata2fd.Rd
fda.usc/man/metric.lp.Rd
fda.usc/man/classif.np.Rd
fda.usc/man/split_omit.fdata.Rd
fda.usc/man/int.simpson.Rd
fda.usc/man/flm.test.Rd
fda.usc/man/influence.fdata.Rd
fda.usc/man/cond.F.Rd
fda.usc/man/h.default.Rd
fda.usc/man/fdata.methods.Rd
fda.usc/man/order.fdata.Rd
fda.usc/man/fdata2pls.Rd
fda.usc/man/fregre.bootstrap.Rd
fda.usc/man/create.fdata.basis.Rd
fda.usc/man/fregre.np.Rd
fda.usc/man/fregre.basis.Rd
fda.usc/man/classif.DD.Rd
fda.usc/man/PCvM.statistic.Rd
fda.usc/man/predict.classif.DD.Rd
fda.usc/man/kmeans.fd.Rd
fda.usc/man/summary.fregre.gkam.Rd
fda.usc/man/fregre.pc.cv.Rd
fda.usc/man/Outliers.fdata.Rd
fda.usc/man/flm.Ftest.Rd
fda.usc/man/fdata.bootstrap.Rd
fda.usc/man/aemet.Rd
fda.usc/man/min.basis.Rd
fda.usc/man/fdata.deriv.Rd
fda.usc/man/predict.fregre.gls.Rd
fda.usc/man/fregre.basis.fr.Rd
fda.usc/man/fregre.basis.cv.Rd
fda.usc/man/gridfdata.Rd
fda.usc/man/MCO.Rd
fda.usc/man/classif.gkam.Rd
fda.usc/man/fregre.plm.Rd
fda.usc/man/GCCV.S.Rd
fda.usc/man/subset.fdata.Rd
fda.usc/man/rwild.Rd
fda.usc/man/Kernel.Rd
fda.usc/man/S.basis.Rd
fda.usc/man/anova.onefactor.Rd
fda.usc/man/plot.fdata.Rd
fda.usc/man/P.penalty.Rd
fda.usc/man/fda.usc-package.Rd
fda.usc/man/poblenou.Rd
fda.usc/man/norm.fdata.Rd
fda.usc/man/summary.classif.Rd
fda.usc/man/fdata.Rd
fda.usc/man/rproc2fdata.Rd
fda.usc/man/GCV.S.Rd
fda.usc/man/metric.kl.Rd
fda.usc/man/classif.depth.Rd
fda.usc/man/rp.flm.statistic.Rd
fda.usc/man/semimetric.basis.Rd
fda.usc/man/phoneme.Rd
fda.usc/man/fregre.glm.Rd
fda.usc/man/fregre.lm.Rd
fda.usc/man/predict.fregre.fd.Rd
fda.usc/man/fregre.np.cv.Rd
fda.usc/man/classif.gsam.Rd
fda.usc/man/fregre.ppls.cv.Rd
fda.usc/man/fregre.pls.cv.Rd
fda.usc/man/DepthFunctionalIntegrate.Rd
fda.usc/man/inprod.fdata.Rd