Learn R Programming
⚠️There's a newer version (2.0.3) of this package.Take me there.

spTDyn (version 2.0.2)

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).

Copy Link

Version

Install

install.packages('spTDyn')

Monthly Downloads

226

Version

2.0.2

License

GPL (>= 2)

Maintainer

Shuvo Bakar

Last Published

November 22nd, 2022

Functions in spTDyn (2.0.2)

initials

Initial values for the spatio-temporal models.
def.time

Timer series information.
decay

Choice for sampling spatial decay parameter \(\phi\).
plot.spTD

Plots for spTDyn output.
sp

Defining spatially varying coefficients in the formula
predict.spTD

Spatial and temporal predictions for the spatio-temporal models.
spTimerDyn-internal

Service functions and some undocumented functions for the spTimer library
priors

Priors for the spatio-temporal models.
spTDyn-package

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

Summary statistics of the parameters.
ObsGridLoc

Combining observation and nearest grid locations and data.
GibbsDyn

MCMC sampling for the models.
tp

Defining dynamic time-series coefficients in the formula