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


Reference manual: goffda.pdf


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


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