Mithochondiral calcium overload (MCO) data set
PCvM statistic for the Functional Linear Model with scalar response
Functional Data Analysis and Utilities for Statistical Computing (fda.usc)
Classification Fitting Functional Generalized Linear Models
Classification Fitting Functional Generalized Additive Models
fda.usc internal functions
Functional data centred (subtract the mean of each discretization point)
Computes the derivative of functional data object.
fdata S3 Group Generic Functions
Functional Regression with scalar response using basis representation.
Cross-validation Functional Regression with scalar response using basis representation.
Converts fdata class object into fd class object
Fitting Functional Linear Models
Utils for generate functional data
Depth for multivariate fdata
Provides the depth measure for a list of p--functional data objects
Calculation of the smoothing parameter (h) for a functional data
Depth for a multivariate dataset
Provides the depth measure for multivariate data
Functional regression with scalar response using non-parametric kernel estimation
Sampling Variance estimates
Descriptive measures for functional data.
Approximates Lp-metric distances for functional data.
False Discorvery Rate (FDR)
Kernel Classifier from Functional Data
Compute the Hausdorff distances between two curves.
Classification Fitting Functional Recursive Partitioning and Regression Trees
Conditional quantile
Classifier from Functional Data
aemet data
Classification Fitting Functional Generalized Kernel Additive Models
Create Basis Set for Functional Data of fdata class
Distance Correlation Statistic and t-Test
Fitting Functional Generalized Kernel Additive Models.
Fitting Functional Generalized Linear Models
Functional penalized PC regression with scalar response using selection of number of PC components
Semi-functional partially linear model with scalar response.
The deviance score .
Kullback--Leibler distance
Predict method for functional regression model
Principal components for functional data
Ornstein-Uhlenbeck process
Correlation for functional data by Principal Component Analysis
Smoothing of functional data using nonparametric kernel estimation
Select the number of basis using GCV method.
Wild bootstrap residuals
A wrapper for the na.omit and na.fail function for fdata object
Summarizes information from fregre.fd objects.
Proximities between functional data (semi-metrics)
Data-driven sampling of random directions guided by sample of functional data
Subsetting
Statistic for testing the FLM using random projections
Summarizes information from kernel classification methods.
Asymmetric Smoothing Kernel
Symmetric Smoothing Kernels.
Partial least squares components for functional data.
Variable Selection using Functional Additive Models
Integrate Smoothing Kernels.
Fit of Functional Generalized Least Squares Model Iteratively
Impact points selection of functional predictor and regression using local maxima distance correlation (LMDC)
Cross-validation functional regression with scalar response using kernel estimation.
One--way anova model for functional data
DD-Classifier Based on DD-plot
Functional Regression with scalar response using Principal Components Analysis.
Functional influence measures
Conditional Distribution Function
Quantile for influence measures
Conditional mode
Converts raw data or other functional data classes into fdata class.
The cross-validation (CV) score
phoneme data
Plot functional data: fdata.
Depth for univariate fdata
Computation of depth measures for functional data
Bootstrap samples of a functional statistic
Smoothing matrix with roughness penalties by basis representation.
Smoothing matrix by nonparametric methods.
Fit Functional Linear Model Using Generalized Least Squares
Functional ANOVA with Random Project.
Fitting Functional Generalized Spectral Additive Models
Goodness-of-fit test for the Functional Linear Model with scalar response using random projections
Functional Penalized PLS regression with scalar response
Functional penalized PLS regression with scalar response using selection of number of PLS components
Inner products of Functional Data Objects o class (fdata)
ANOVA for heteroscedastic data
Simpson integration
Simulate several random processes.
Approximates Lp-norm for functional data.
A wrapper for the order Proximities between functional data
predict.functional.response
Predict method for functional response model
F-test for the Functional Linear Model with scalar response
Goodness-of-fit test for the Functional Linear Model with scalar response
Summarizes information from fregre.gkam objects.
Delsol, Ferraty and Vieu test for no functional-scalar interaction
tecator data
Predictions from a functional gls object
Functional Regression with functional response using basis representation.
Bootstrap regression
Functional Penalized PC (or PLS) regression with scalar response
Functional penalized PC (or PLS) regression with scalar response using selection of number of PC (or PLS) components
K-Means Clustering for functional data
Distance Matrix Computation
poblenou data
Predicts from a fitted classif.DD object.
Predicts from a fitted classif object.
Predict method for functional linear model (fregre.fd class)
Proximities between functional data
A wrapper for the split and unlist function for fdata object
The generalized correlated cross-validation (GCCV) score.
The generalized cross-validation (GCV) score.
Detecting outliers for functional dataset
Penalty matrix for higher order differences