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]

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goffda/json (API)
NEWS

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

Peer review:

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:

functional-data-analysisgoodness-of-fitreproducible-researchstatistics

23 exports 10 stars 1.82 score 60 dependencies 1 dependents 12 scripts 301 downloads

Last updated 11 months agofrom:294d7ad4ea. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-win-x86_64NOTESep 09 2024
R-4.5-linux-x86_64NOTESep 09 2024
R-4.4-win-x86_64NOTESep 09 2024
R-4.4-mac-x86_64NOTESep 09 2024
R-4.4-mac-aarch64NOTESep 09 2024
R-4.3-win-x86_64NOTESep 09 2024
R-4.3-mac-x86_64NOTESep 09 2024
R-4.3-mac-aarch64NOTESep 09 2024

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:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelfansifarverfdafda.uscfdsFNNforeachggplot2glmnetgluegtablehdrcdeisobanditeratorskernlabKernSmoothkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangscalesshapeSuppDistssurvivaltibbleutf8vctrsviridisLitewithr