CRAN/E | spTimer

spTimer

Spatio-Temporal Bayesian Modelling

Installation

About

Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) doi:10.18637/jss.v063.i15.

Citation spTimer citation info

Key Metrics

Version 3.3.2
R ≥ 3.4.0
Published 2022-10-26 552 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Downloads

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Last 365 days 7.147 -16%

Maintainer

Maintainer

K. Shuvo Bakar

shuvo.bakar@gmail.com

Authors

K. Shuvo Bakar & Sujit K. Sahu

Material

ChangeLog
Reference manual
Package source

In Views

Bayesian
Spatial
SpatioTemporal
TimeSeries

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

spTimer archive

Depends

R ≥ 3.4.0

Imports

coda
sp
spacetime
extraDistr
grDevices
graphics
stats
utils

Reverse Depends

spTDyn

Reverse Imports

bmstdr