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:Jian Qing Shi, Yafeng Cheng, Evandro Konzen

GPFDA_3.1.3.tar.gz
GPFDA_3.1.3.zip(r-4.5)GPFDA_3.1.3.zip(r-4.4)GPFDA_3.1.3.zip(r-4.3)
GPFDA_3.1.3.tgz(r-4.4-x86_64)GPFDA_3.1.3.tgz(r-4.4-arm64)GPFDA_3.1.3.tgz(r-4.3-x86_64)GPFDA_3.1.3.tgz(r-4.3-arm64)
GPFDA_3.1.3.tar.gz(r-4.5-noble)GPFDA_3.1.3.tar.gz(r-4.4-noble)
GPFDA_3.1.3.tgz(r-4.4-emscripten)GPFDA_3.1.3.tgz(r-4.3-emscripten)
GPFDA.pdf |GPFDA.html✨
GPFDA/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.81 score 1 stars 1 packages 36 scripts 299 downloads 25 exports 63 dependencies

Last updated 1 years agofrom:1d65d085fd. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64OKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:calcScaleDistMatscov.linearcov.materncov.pow.excov.rat.quD2distMatdistMatLineardistMatLinearSqdistMatSqgpfrgpfrPredictgprgprPredictmat2fdmgpCovMatmgprmgprPredictnsgpCovMatnsgpCovMatAsymnsgprnsgprPredictplotImageplotmgpCovFununscaledCorr

Dependencies:ashbitopscliclustercodetoolscolorspacedeldirdeSolvedoParalleldotCall64fansifarverfdafda.uscfdsfieldsFNNforeachggplot2gluegtablehdrcdeinterpisobanditeratorskernlabKernSmoothkskSampleslabelinglatticelifecyclelocfitmagrittrmapsMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangscalesspamSuppDiststibbleutf8vctrsviridisLitewithr

co2 data example

Rendered fromco2.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-09-10
Started: 2021-01-11

GPFR example

Rendered fromgpfr.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2021-01-26
Started: 2021-01-11

GPR - example 1

Rendered fromgpr_ex1.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2021-01-26
Started: 2021-01-11

GPR - example 2

Rendered fromgpr_ex2.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2021-01-26
Started: 2021-01-11

MGPR example

Rendered frommgpr.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2021-01-26
Started: 2021-01-11

NSGPR example

Rendered fromnsgpr.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2021-01-26
Started: 2021-01-11