goffda: Goodness-of-Fit Tests for Functional Data

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) <doi:10.1111/sjos.12486>.

Version:	0.1.2
Depends:	R (≥ 3.6.0), Rcpp
Imports:	fda.usc, glmnet, ks
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	microbenchmark, knitr, viridisLite, rmarkdown
Published:	2023-10-14
DOI:	10.32614/CRAN.package.goffda
Author:	Eduardo García-Portugués [aut, cre], Javier Álvarez-Liébana [aut], Gonzalo Álvarez-Pérez [ctb], Manuel Febrero-Bande [ctb]
Maintainer:	Eduardo García-Portugués <edgarcia at est-econ.uc3m.es>
BugReports:	https://github.com/egarpor/goffda
License:	GPL-3
URL:	https://github.com/egarpor/goffda
NeedsCompilation:	yes
Citation:	goffda citation info
Materials:	NEWS
CRAN checks:	goffda results

Documentation:

Reference manual:

goffda.pdf

Downloads:

Package source:	goffda_0.1.2.tar.gz
Windows binaries:	r-devel: goffda_0.1.2.zip, r-release: goffda_0.1.2.zip, r-oldrel: goffda_0.1.2.zip
macOS binaries:	r-release (arm64): goffda_0.1.2.tgz, r-oldrel (arm64): goffda_0.1.2.tgz, r-release (x86_64): goffda_0.1.2.tgz, r-oldrel (x86_64): goffda_0.1.2.tgz
Old sources:	goffda archive

Reverse dependencies:

Reverse imports:

robflreg

Linking:

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