Package: FastGaSP 0.5.3

FastGaSP: Fast and Exact Computation of Gaussian Stochastic Process

Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using forward filtering and backward smoothing algorithm. It allows for the cases with or without a noise. See the reference: Mengyang Gu and Yanxun Xu, 2020, Journal of Computational and Graphical Statistics.

Authors:Mengyang Gu [aut, cre]

FastGaSP_0.5.3.tar.gz
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FastGaSP.pdf |FastGaSP.html
FastGaSP/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

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

16 exports 0.49 score 2 dependencies 1 dependents 19 scripts 904 downloads

Last updated 5 months agofrom:074c32c608. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-win-x86_64OKAug 25 2024
R-4.5-linux-x86_64OKAug 25 2024
R-4.4-win-x86_64OKAug 25 2024
R-4.4-mac-x86_64OKAug 25 2024
R-4.4-mac-aarch64OKAug 25 2024
R-4.3-win-x86_64OKAug 25 2024
R-4.3-mac-x86_64OKAug 25 2024
R-4.3-mac-aarch64OKAug 25 2024

Exports:Construct_G_expConstruct_G_matern_5_2Construct_W_expConstruct_W_matern_5_2Construct_W0_expConstruct_W0_matern_5_2fgaspGet_C_R_K_QGet_L_inv_yGet_log_det_S2Kalman_smootherlog_likpredictSample_KFSample_KF_postshow

Dependencies:RcppRcppEigen