This package is considered a duplicate. The official version of this package is found at:https://gpfda.r-universe.dev/GPFDA

Package: GPFDA 3.1.3

Evandro Konzen

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

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.

openblas cpp openmp

3.81 score 1 stars 1 packages 36 scripts 278 downloads 25 exports 68 dependencies

Last updated 1 years agofrom:1d65d085fd. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 30 2024
R-4.5-linux-x86_64	OK	Dec 30 2024

Exports:calcScaleDistMats cov.linear cov.matern cov.pow.ex cov.rat.qu D2 distMat distMatLinear distMatLinearSq distMatSq gpfr gpfrPredict gpr gprPredict mat2fd mgpCovMat mgpr mgprPredict nsgpCovMat nsgpCovMatAsym nsgpr nsgprPredict plotImage plotmgpCovFun unscaledCorr

Dependencies:ash bitops cli cluster codetools colorspace deldir deSolve doParallel dotCall64 evaluate fansi farver fda fda.usc fds fields FNN foreach ggplot2 glue gtable hdrcde highr interp isoband iterators kernlab KernSmooth knitr ks kSamples labeling lattice lifecycle locfit magrittr maps MASS Matrix mclust mgcv multicool munsell mvtnorm nlme pcaPP pillar pkgconfig pracma R6 rainbow RColorBrewer Rcpp RcppArmadillo RcppEigen RCurl rlang scales spam SuppDists tibble utf8 vctrs viridisLite withr xfun yaml

co2 data example

Rendered fromco2.Rmdusingknitr::rmarkdownon Dec 30 2024.

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