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goffda (version 0.0.7)

Goodness-of-Fit Tests for Functional Data

Description

Implementation of several goodness-of-fit tests for functional data. Currently, mostly related with the functional linear model with functional/scalar response and functional/scalar predictor. The package allows for the replication of the data applications considered in Garca-Portugus, <81>lvarez-Libana, <81>lvarez-Prez and Gonzlez-Manteiga (2019) .

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Install

install.packages('goffda')

Monthly Downloads

288

Version

0.0.7

License

GPL-3

Issues

0

Pull Requests

1

Stars

10

Forks

3

Maintainer

Eduardo Portugues

Last Published

July 24th, 2020

Functions in goffda (0.0.7)

flm_test

Goodness-of-fit test for functional linear models
cv_glmnet

Fitting of regularized linear models
fda.usc_efic

Auxiliary functions for the goffda package
fpc

Computation of functional principal components
elem-flmfr

Covariate, error, and kernel of a functional linear model with functional response
fpc_utils

Utilities for functional principal components
flm_term

Functional linear model term with bivariate kernel
flm_est

Estimation of functional linear models
aemet_temp

AEMET daily temperatures during 1974--2013
quadrature

Quadrature rules for the goffda package
flm_stat

Projected Cram<U+00E9>r--von Mises test statistic for the goodness-of-fit test of functional linear models
sim-frmfr

Sampling functional regression models with functional responses
ontario

Ontario temperature and electricity consumption during 2010--2014
goffda-package

goffda -- Goodness-of-Fit Tests for Functional Data
r_ou

Simulation of an Ornstein--Uhlenbeck process