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_2.0.3.tgz(r-4.5-x86_64)spTDyn_2.0.3.tgz(r-4.5-arm64)spTDyn_2.0.3.tgz(r-4.4-x86_64)spTDyn_2.0.3.tgz(r-4.4-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.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'))

On CRAN:

Conda:

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 269 downloads 18 exports 10 dependencies

Last updated 6 months agofrom:32ae4a1c71. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-win-x86_64OKMar 09 2025
R-4.5-mac-x86_64OKMar 09 2025
R-4.5-mac-aarch64OKMar 09 2025
R-4.5-linux-x86_64OKMar 09 2025
R-4.4-win-x86_64OKMar 09 2025
R-4.4-mac-x86_64OKMar 09 2025
R-4.4-mac-aarch64OKMar 09 2025
R-4.4-linux-x86_64OKMar 09 2025

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

Dependencies:codaextraDistrintervalslatticeRcppspspacetimespTimerxtszoo