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psgp  

Projected Spatial Gaussian Process Methods
View on CRAN: Click here


Download and install psgp package within the R console
Install from CRAN:
install.packages("psgp")

Install from Github:
library("remotes")
install_github("cran/psgp")

Install by package version:
library("remotes")
install_version("psgp", "0.3-25")



Attach the package and use:
library("psgp")
Maintained by
Ben Ingram
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-29
Latest Update: 2025-07-17
Description:
Implements projected sparse Gaussian process Kriging (Ingram 'et. al.', 2008, ) as an additional method for the 'intamap' package. More details on implementation (Barillec 'et. al.', 2010, ).
How to cite:
Ben Ingram (2009). psgp: Projected Spatial Gaussian Process Methods. R package version 0.3-25, https://cran.r-project.org/web/packages/psgp. Accessed 21 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:44), 0.2-7 (2009-09-29 20:49), 0.2-8 (2009-10-26 20:28), 0.2-10 (2010-01-21 08:14), 0.2-11 (2010-06-17 11:16), 0.3-0 (2012-01-24 07:50), 0.3-1 (2012-04-12 20:48), 0.3-2 (2013-02-19 12:47), 0.3-3 (2013-08-20 19:53), 0.3-4 (2013-12-15 11:24), 0.3-5 (2014-02-12 13:07), 0.3-6 (2014-05-08 16:45), 0.3-15 (2018-03-16 18:14), 0.3-17 (2018-04-13 15:14), 0.3-18 (2018-04-22 14:35), 0.3-19 (2020-01-31 23:30), 0.3-20 (2023-07-20 20:40), 0.3-21 (2023-11-27 17:00), 0.3-22 (2025-06-25 14:00), 0.3-23 (2025-07-18 01:00), 0.3-24 (2025-09-26 22:00), 0.3-25 (2025-09-29 23:40)
Other packages that cited psgp R package
View psgp citation profile
Other R packages that psgp depends, imports, suggests or enhances
Complete documentation for psgp
Functions, R codes and Examples using the psgp R package
Some associated functions: buildMetadata . estimateParameters . psgp-package . spatialPredict . 
Some associated R codes: buildMetadata.R . estimateParameters.R . learnParameters.R . makePrediction.R . spatialPredict.R . summary.R .  Full psgp package functions and examples
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