R: Goodness-of-Fit Tests for Functional Data

# Goodness-of-Fit Tests for Functional Data

## Documentation for package ‘goffda’ version 0.1.2

- DESCRIPTION file
- Package NEWS

## Help Pages

goffda-package | 'goffda' - Goodness-of-Fit Tests for Functional Data
Adot | Projected Cramér-von Mises test statistic for the goodness-of-fit test of functional linear models
aemet_temp | AEMET daily temperatures during 1974-2013
beta_fpc_coefs | Utilities for functional principal components
cv_glmnet | Fitting of regularized linear models
elem-flmfr | Covariate, error, and kernel of a functional linear model with functional response
flm_est | Estimation of functional linear models
flm_stat | Projected Cramér-von Mises test statistic for the goodness-of-fit test of functional linear models
flm_term | Functional linear model term with bivariate kernel
flm_test | Goodness-of-fit test for functional linear models
fpc | Computation of functional principal components
fpc_coefs | Utilities for functional principal components
fpc_to_beta | Utilities for functional principal components
fpc_to_fdata | Utilities for functional principal components
fpc_utils | Utilities for functional principal components
goffda | 'goffda' - Goodness-of-Fit Tests for Functional Data
nl_dev | Sampling functional regression models with functional responses
ontario | Ontario temperature and electricity consumption during 2010-2014
r_cm2013_flmfr | Covariate, error, and kernel of a functional linear model with functional response
r_frm_fr | Sampling functional regression models with functional responses
r_gof2021_flmfr | Covariate, error, and kernel of a functional linear model with functional response
r_ik2018_flmfr | Covariate, error, and kernel of a functional linear model with functional response
r_ou | Simulation of an Ornstein-Uhlenbeck process
sim-frmfr | Sampling functional regression models with functional responses