Functional Data Analysis and Utilities for Statistical Computing
Performance measures for regression and classification models
DD-Classifier Based on DD-plot
Classifier from Functional Data
Classification Fitting Functional Generalized Kernel Additive Models
Classification Fitting Functional Generalized Linear Models
Classification Fitting Functional Generalized Additive Models
Variable Selection in Functional Data Classification
Functional Classification usign k-fold CV
Functional classification using ML algotithms
Kernel Classifier from Functional Data
Conditional Distribution Function
Conditional mode
Conditional quantile
Create Basis Set for Functional Data of fdata class
The cross-validation (CV) score
Distance Correlation Statistic and t-Test
Computation of depth measures for functional data
Provides the depth measure for multivariate data
Provides the depth measure for a list of p--functional data objects
Descriptive measures for functional data.
The deviance score
Delsol, Ferraty and Vieu test for no functional-scalar interaction
Proximities between functional data
ANOVA for heteroscedastic data
One--way anova model for functional data
Functional ANOVA with Random Project.
Functional Data Analysis and Utilities for Statistical Computing (fda....
fda.usc internal functions
Bootstrap samples of a functional statistic
Functional data centred (subtract the mean of each discretization poin...
Computes the derivative of functional data object.
fdata S3 Group Generic Functions
Converts raw data or other functional data classes into fdata class.
Compute fucntional coefficients from functional data represented in a ...
Converts fdata class object into fd class object
Principal components for functional data
Partial least squares components for functional data.
False Discorvery Rate (FDR)
Tests for checking the equality of distributions between two functiona...
Tests for checking the equality of means and/or covariance between two...
F-test for the Functional Linear Model with scalar response
Goodness-of-fit test for the Functional Linear Model with scalar respo...
Cross-validation Functional Regression with scalar response using basi...
Functional Regression with functional response using basis representat...
Functional Regression with scalar response using basis representation.
Bootstrap regression
Fitting Functional Generalized Kernel Additive Models.
Fitting Functional Generalized Linear Models
Variable Selection using Functional Linear Models
Fit Functional Linear Model Using Generalized Least Squares
Fitting Functional Generalized Spectral Additive Models
Variable Selection using Functional Additive Models
Fit of Functional Generalized Least Squares Model Iteratively
Fitting Functional Linear Models
Cross-validation functional regression with scalar response using kern...
Functional regression with scalar response using non-parametric kernel...
Functional penalized PC regression with scalar response using selectio...
Functional Regression with scalar response using Principal Components ...
Semi-functional partially linear model with scalar response.
Functional penalized PLS regression with scalar response using selecti...
Functional Penalized PLS regression with scalar response
The generalized correlated cross-validation (GCCV) score.
The generalized correlated cross-validation (GCCV) score
Calculation of the smoothing parameter (h) for a functional data
Functional influence measures
Quantile for influence measures
Inner products of Functional Data Objects o class (fdata)
Simpson integration
Asymmetric Smoothing Kernel
Integrate Smoothing Kernels.
Symmetric Smoothing Kernels.
K-Means Clustering for functional data
ldata class definition and utilities
Impact points selection of functional predictor and regression using l...
Distance Matrix Computation
DTW: Dynamic time warping
Compute the Hausdorff distances between two curves.
Kullback--Leibler distance
Distance Matrix Computation for ldata and mfdata class object
Approximates Lp-metric distances for functional data.
mfdata class definition and utilities
A wrapper for the na.omit and na.fail function for fdata object
Approximates Lp-norm for functional data.
ops.fda.usc Options Settings
Select the number of basis using GCV method.
Smoothing of functional data using nonparametric kernel estimation
outliers for functional dataset
Penalty matrix for higher order differences
PCvM statistic for the Functional Linear Model with scalar response
Plot functional data: fdata class object
Predicts from a fitted classif.DD object.
Predicts from a fitted classif object.
Predict method for functional linear model (fregre.fd class)
Predict method for functional response model
Predictions from a functional gls object
Predict method for functional linear model
Ornstein-Uhlenbeck process
Utils for generate functional data
Data-driven sampling of random directions guided by sample of function...
Statistics for testing the functional linear model using random projec...
Goodness-of fit test for the functional linear model using random proj...
Simulate several random processes.
Wild bootstrap residuals
Smoothing matrix with roughness penalties by basis representation.
Smoothing matrix by nonparametric methods
Proximities between functional data
Proximities between functional data (semi-metrics)
Subsetting
Summarizes information from kernel classification methods.
Correlation for functional data by Principal Component Analysis
Summarizes information from fregre.fd objects.
Summarizes information from fregre.gkam objects.
Sampling Variance estimates
Weighting tools
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.
Useful links