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 (2019) <arXiv:1909.07686>.
Version: | 0.0.6 |
Depends: | R (≥ 3.5.0), Rcpp |
Imports: | fda.usc, glmnet, ks |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | microbenchmark, knitr, viridisLite, rmarkdown |
Published: | 2019-12-17 |
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 |
Materials: | NEWS |
CRAN checks: | goffda results |
Reference manual: | goffda.pdf |
Package source: | goffda_0.0.6.tar.gz |
Windows binaries: | r-devel: goffda_0.0.6.zip, r-release: goffda_0.0.6.zip, r-oldrel: goffda_0.0.6.zip |
macOS binaries: | r-release: goffda_0.0.6.tgz, r-oldrel: goffda_0.0.6.tgz |
Old sources: | goffda archive |
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