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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 ORCID iD [aut, cre], Javier Álvarez-Liébana ORCID iD [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:

Please use the canonical form https://CRAN.R-project.org/package=goffda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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