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spTimer

3.3.4

Spatio-Temporal Bayesian Modelling

3packages depend
6.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by K. Shuvo BakarFirst published 2012-06-1524 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-05
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
79%
Documented parameters
89%
Return-value docs
33%
References docs
20%

Downloads

6.3K
CRAN downloads in the past year
Rank #4,285 · ~17/day · ~528/mo
Daily download trend is not available in this view yet.
44030 days
1.9K90 days
6.3K1 year
Compare downloads with other packages →
Also on621 r2u91 c2d4u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.5
Imports (8)
codaspspacetimeextraDistrgrDevicesgraphicsstatsutils
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer · added in 3.3.3
Authors (1)
Author, Maintainer · added in 3.3.3
Contributors (1)
Contributor · added in 3.3.3
Listed in earlier versions (2)
no longer listed · 0.01
no longer listed · 0.02 to 3.3.2
Package Timeline

24 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.3.4Latest
    2026-03-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 3.3.3
    2024-09-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 3.3.2
    2022-10-26 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 3.3.1
    2020-06-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 3.3
    2018-11-10 · diff ↗
  • 3.2
    2018-10-25 · diff ↗
  • 3.1
    2018-06-29 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 23 earlier events
  • 3.0-1
    2017-10-19 · diff ↗
  • 3.0-0
    2017-10-15 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 2.0-1
    2015-08-18 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 2.0-0
    2015-01-19 · diff ↗
  • 1.0-3
    2014-10-02 · diff ↗
  • 1.0-2
    2014-06-24 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0-1
    2014-03-03 · diff ↗
  • 0.9-1
    2014-01-29 · diff ↗
  • 0.9
    2013-12-05 · diff ↗
  • 0.8
    2013-07-04 · diff ↗
  • 0.7
    2013-05-23 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 0.6
    2013-03-01 · diff ↗
  • 0.05
    2013-01-22 · diff ↗
  • 0.04
    2012-12-27 · diff ↗
  • 0.03
    2012-12-12 · diff ↗
  • 0.02
    2012-07-05 · diff ↗
  • 0.01
    2012-06-15
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2012-06-15
Total releases
24 / 14 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.5
Bundled data
229 KB / 2 files
Download size
362 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spTimer")
Bakar, K. S., & Sahu, S. K. (2026). spTimer: Spatio-Temporal Bayesian Modelling (Version 3.3.4) [Computer software]. https://doi.org/10.32614/CRAN.package.spTimer

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spTimer version 3.3.4 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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