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-4.7-x86_64)spTDyn_2.0.3.zip(r-4.7-arm64)spTDyn_2.0.3.zip(r-4.6-x86_64)spTDyn_2.0.3.zip(r-4.6-arm64)spTDyn_2.0.3.zip(r-4.5-x86_64)
spTDyn_2.0.3.tgz(r-4.6-x86_64)spTDyn_2.0.3.tgz(r-4.6-arm64)spTDyn_2.0.3.tgz(r-4.5-x86_64)spTDyn_2.0.3.tgz(r-4.5-arm64)
spTDyn_2.0.3.tar.gz(r-4.7-arm64)spTDyn_2.0.3.tar.gz(r-4.7-x86_64)spTDyn_2.0.3.tar.gz(r-4.6-arm64)spTDyn_2.0.3.tar.gz(r-4.6-x86_64)
spTDyn_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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.

1.84 score 1 stars 1 packages 23 scripts 286 downloads 18 exports 11 dependencies

Last updated from:32ae4a1c71. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK90
linux-devel-x86_64OK119
source / vignettesOK162
linux-release-arm64OK86
linux-release-x86_64OK152
macos-release-arm64OK121
macos-release-x86_64OK269
macos-oldrel-arm64OK90
macos-oldrel-x86_64OK142
windows-devel-arm64OK188
windows-devel-x86_64OK158
windows-release-arm64OK181
windows-release-x86_64OK83
windows-oldrel-x86_64OK94
wasm-releaseOK84

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

Dependencies:codaextraDistrintervalslatticeRcppRcppArmadillospspacetimespTimerxtszoo