Package: GPFDA 3.1.3
GPFDA: Gaussian Process for Functional Data Analysis
Functionalities for modelling functional data with multidimensional inputs, multivariate functional data, and non-separable and/or non-stationary covariance structure of function-valued processes. In addition, there are functionalities for functional regression models where the mean function depends on scalar and/or functional covariates and the covariance structure depends on functional covariates. The development version of the package can be found on <https://github.com/gpfda/GPFDA-dev>.
Authors:
GPFDA_3.1.3.tar.gz
GPFDA_3.1.3.tar.gz(r-4.7-arm64)GPFDA_3.1.3.tar.gz(r-4.7-x86_64)GPFDA_3.1.3.tar.gz(r-4.6-arm64)GPFDA_3.1.3.tar.gz(r-4.6-x86_64)
GPFDA_3.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GPFDA/json (API)
| # Install 'GPFDA' in R: |
| install.packages('GPFDA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- dataExampleGPFR - Data simulated in the GPFR example
- dataExampleMGPR - Data simulated in the MGPR example
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1d65d085fd. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 203 | ||
| linux-devel-x86_64 | OK | 200 | ||
| source / vignettes | OK | 329 | ||
| linux-release-arm64 | OK | 186 | ||
| linux-release-x86_64 | OK | 220 | ||
| wasm-release | OK | 166 |
Exports:calcScaleDistMatscov.linearcov.materncov.pow.excov.rat.quD2distMatdistMatLineardistMatLinearSqdistMatSqgpfrgpfrPredictgprgprPredictmat2fdmgpCovMatmgprmgprPredictnsgpCovMatnsgpCovMatAsymnsgprnsgprPredictplotImageplotmgpCovFununscaledCorr
Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deldirdeSolvedoParalleldotCall64evaluatefarverfdafda.uscfdsfieldsFNNforeachggplot2gluegtablehdrcdehighrinterpisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitmapsMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangS7scalesspamSuppDistsvctrsviridisLitewithrxfunyaml
co2 data example
Rendered fromco2.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2023-09-10
Started: 2021-01-11
GPFR example
Rendered fromgpfr.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2021-01-26
Started: 2021-01-11
GPR - example 1
Rendered fromgpr_ex1.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2021-01-26
Started: 2021-01-11
GPR - example 2
Rendered fromgpr_ex2.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2021-01-26
Started: 2021-01-11
MGPR example
Rendered frommgpr.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2021-01-26
Started: 2021-01-11
NSGPR example
Rendered fromnsgpr.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2021-01-26
Started: 2021-01-11
