Package: goffda 0.1.2

Eduardo García-Portugués

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>.

Authors:Eduardo García-Portugués [aut, cre], Javier Álvarez-Liébana [aut], Gonzalo Álvarez-Pérez [ctb], Manuel Febrero-Bande [ctb]

goffda_0.1.2.tar.gz
goffda_0.1.2.tar.gz(r-4.5-noble)goffda_0.1.2.tar.gz(r-4.4-noble)
goffda_0.1.2.tgz(r-4.4-emscripten)goffda_0.1.2.tgz(r-4.3-emscripten)
goffda.pdf |goffda.html✨
goffda/json (API)
NEWS

# Install 'goffda' in R:
install.packages('goffda', repos = 'https://cloud.r-project.org')

Bug tracker:https://github.com/egarpor/goffda/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • aemet_temp - AEMET daily temperatures during 1974-2013
  • ontario - Ontario temperature and electricity consumption during 2010-2014

On CRAN:

Conda:

openblascpp

1.48 score 1 packages 352 downloads 23 exports 65 dependencies

Last updated 1 years agofrom:0674abecf0. Checks:2 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-linux-x86_64NOTEMar 07 2025

Exports:Adotbeta_fpc_coefscv_glmnetfdata_cenflm_estflm_statflm_termflm_testfpcfpc_coefsfpc_to_betafpc_to_fdatafunc_meaninprod_fdataintegral1Dintegral2Dnl_devr_cm2013_flmfrr_frm_frr_gof2021_flmfrr_ik2018_flmfrr_ouw_integral1D

Dependencies:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelevaluatefansifarverfdafda.uscfdsFNNforeachggplot2glmnetgluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangscalesshapeSuppDistssurvivaltibbleutf8vctrsviridisLitewithrxfunyaml

Citation

To cite goffda in publications use:

García-Portugués, E. and Álvarez-Liébana, J. (2023). goffda: Goodness-of-Fit Tests for Functional Data. R package version 0.1.2. https://CRAN.R-project.org/package=goffda

García-Portugués, E., Álvarez-Liébana, J., Álvarez-Pérez, G., and González-Manteiga, W. (2021). A goodness-of-fit test for the functional linear model with functional response. Scandinavian Journal of Statistics, 48(2):502-528. https://doi.org/10.1111/sjos.12486

Corresponding BibTeX entries: 

  @Manual{,
    title = {{goffda}: Goodness-of-Fit Tests for Functional Data},
    author = {Eduardo García-Portugués and Javier Álvarez-Liébana},
    year = {2023},
    note = {R package version 0.1.2},
    url = {https://CRAN.R-project.org/package=goffda},
  }

  @Article{,
    title = {A goodness-of-fit test for the functional linear model
      with functional response},
    author = {Eduardo García-Portugués and Javier Álvarez-Liébana and
      Gonzalo Álvarez-Pérez and Wenceslao González-Manteiga},
    journal = {Scandinavian Journal of Statistics},
    year = {2021},
    volume = {48},
    number = {2},
    pages = {502--528},
    url = {https://doi.org/10.1111/sjos.12486},
  }