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spTDyn (version 2.0.3)

Spatially Varying and Spatio-Temporal Dynamic Linear Models

Description

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).

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Version

Install

install.packages('spTDyn')

Monthly Downloads

252

Version

2.0.3

License

GPL (>= 2)

Maintainer

Shuvo Bakar

Last Published

September 9th, 2024

Functions in spTDyn (2.0.3)

initials

Initial values for the spatio-temporal models.
plot.spTD

Plots for spTDyn output.
GibbsDyn

MCMC sampling for the models.
ObsGridLoc

Combining observation and nearest grid locations and data.
predict.spTD

Spatial and temporal predictions for the spatio-temporal models.
tp

Defining dynamic time-series coefficients in the formula
priors

Priors for the spatio-temporal models.
decay

Choice for sampling spatial decay parameter \(\phi\).
spTimerDyn-internal

Service functions and some undocumented functions for the spTimer library
sp

Defining spatially varying coefficients in the formula
def.time

Timer series information.
spTDyn-package

Spatially varying and spatio-temporal dynamic linear models
summary.spTD

Summary statistics of the parameters.