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goffda (version 0.1.2)

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 García-Portugués, Álvarez-Liébana, Álvarez-Pérez and González-Manteiga (2021) .

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Install

install.packages('goffda')

Monthly Downloads

228

Version

0.1.2

License

GPL-3

Issues

0

Pull Requests

1

Stars

10

Forks

3

Maintainer

Eduardo Portugues

Last Published

October 14th, 2023

Functions in goffda (0.1.2)

flm_term

Functional linear model term with bivariate kernel
flm_test

Goodness-of-fit test for functional linear models
sim-frmfr

Sampling functional regression models with functional responses
fpc

Computation of functional principal components
aemet_temp

AEMET daily temperatures during 1974--2013
elem-flmfr

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

Utilities for functional principal components
goffda-package

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

Fitting of regularized linear models
flm_est

Estimation of functional linear models
ontario

Ontario temperature and electricity consumption during 2010--2014
flm_stat

Projected Cramér--von Mises test statistic for the goodness-of-fit test of functional linear models
fda.usc_efic

Auxiliary functions for the goffda package
quadrature

Quadrature rules for the goffda package
r_ou

Simulation of an Ornstein--Uhlenbeck process