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:
goffda_0.1.2.tar.gz
goffda_0.1.2.zip(r-4.7)goffda_0.1.2.zip(r-4.6)goffda_0.1.2.zip(r-4.5)
goffda_0.1.2.tgz(r-4.6-x86_64)goffda_0.1.2.tgz(r-4.6-arm64)goffda_0.1.2.tgz(r-4.5-x86_64)goffda_0.1.2.tgz(r-4.5-arm64)
goffda_0.1.2.tar.gz(r-4.7-arm64)goffda_0.1.2.tar.gz(r-4.7-x86_64)goffda_0.1.2.tar.gz(r-4.6-arm64)goffda_0.1.2.tar.gz(r-4.6-x86_64)
goffda_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
goffda/json (API)
| # Install 'goffda' in R: |
| install.packages('goffda', repos = c('https://egarpor.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/egarpor/goffda/issues
- aemet_temp - AEMET daily temperatures during 1974-2013
- ontario - Ontario temperature and electricity consumption during 2010-2014
functional-data-analysisgoodness-of-fitreproducible-researchstatisticsopenblascpp
Last updated from:294d7ad4ea. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 168 | ||
| linux-devel-x86_64 | OK | 180 | ||
| source / vignettes | OK | 227 | ||
| linux-release-arm64 | OK | 160 | ||
| linux-release-x86_64 | OK | 154 | ||
| macos-release-arm64 | OK | 288 | ||
| macos-release-x86_64 | OK | 278 | ||
| macos-oldrel-arm64 | OK | 125 | ||
| macos-oldrel-x86_64 | OK | 307 | ||
| windows-devel | OK | 164 | ||
| windows-release | OK | 153 | ||
| windows-oldrel | OK | 188 | ||
| wasm-release | OK | 143 |
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:ashbitopscliclustercodetoolscolorspacecpp11deSolvedoParallelevaluatefarverfdafda.uscfdsFNNforeachggplot2glmnetgluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangS7scalesshapeSuppDistssurvivalvctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 'goffda' - Goodness-of-Fit Tests for Functional Data | goffda-package goffda |
| AEMET daily temperatures during 1974-2013 | aemet_temp |
| Fitting of regularized linear models | cv_glmnet |
| Covariate, error, and kernel of a functional linear model with functional response | elem-flmfr r_cm2013_flmfr r_gof2021_flmfr r_ik2018_flmfr |
| Estimation of functional linear models | flm_est |
| Projected Cramér-von Mises test statistic for the goodness-of-fit test of functional linear models | Adot flm_stat |
| Functional linear model term with bivariate kernel | flm_term |
| Goodness-of-fit test for functional linear models | flm_test |
| Computation of functional principal components | fpc |
| Utilities for functional principal components | beta_fpc_coefs fpc_coefs fpc_to_beta fpc_to_fdata fpc_utils |
| Ontario temperature and electricity consumption during 2010-2014 | ontario |
| Simulation of an Ornstein-Uhlenbeck process | r_ou |
| Sampling functional regression models with functional responses | nl_dev r_frm_fr sim-frmfr |