Package: spTDyn 2.0.3

spTDyn: Spatially Varying and Spatio-Temporal Dynamic Linear Models

Fits, spatially predicts, and temporally forecasts space-time data using Gaussian Process (GP): (1) spatially varying coefficient process models and (2) spatio-temporal dynamic linear models. Bakar et al., (2016). Bakar et al., (2015).

Authors:K. Shuvo Bakar [aut, cre], Philip Kokic [ctb], Huidong Jin [ctb]

spTDyn_2.0.3.tar.gz
spTDyn_2.0.3.zip(r-4.5)spTDyn_2.0.3.zip(r-4.4)spTDyn_2.0.2.zip(r-4.3)
spTDyn_2.0.3.tgz(r-4.4-x86_64)spTDyn_2.0.3.tgz(r-4.4-arm64)spTDyn_2.0.2.tgz(r-4.3-x86_64)spTDyn_2.0.2.tgz(r-4.3-arm64)
spTDyn_2.0.3.tar.gz(r-4.5-noble)spTDyn_2.0.3.tar.gz(r-4.4-noble)
spTDyn_2.0.3.tgz(r-4.4-emscripten)spTDyn_2.0.2.tgz(r-4.3-emscripten)
spTDyn.pdf |spTDyn.html
spTDyn/json (API)

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

Peer review:

Datasets:

    On CRAN:

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

    1.82 score 1 stars 1 packages 22 scripts 226 downloads 18 exports 10 dependencies

    Last updated 2 months agofrom:32ae4a1c71. Checks:OK: 9. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKNov 09 2024
    R-4.5-win-x86_64OKNov 09 2024
    R-4.5-linux-x86_64OKNov 09 2024
    R-4.4-win-x86_64OKNov 09 2024
    R-4.4-mac-x86_64OKNov 09 2024
    R-4.4-mac-aarch64OKNov 09 2024
    R-4.3-win-x86_64OKSep 08 2024
    R-4.3-mac-x86_64OKSep 08 2024
    R-4.3-mac-aarch64OKSep 08 2024

    Exports:as.mcmc.spTDcoef.spTDconfint.spTDdecaydef.timefitted.spTDGibbsDyngridTodatainitialsObsGridDataObsGridLocplot.spTDpredict.spTDpriorsresiduals.spTDspsummary.spTDtp

    Dependencies:codaextraDistrintervalslatticeRcppspspacetimespTimerxtszoo