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spNNGP  

Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("spNNGP", "1.0.0")



Attach the package and use:
library("spNNGP")
Maintained by
Andrew Finley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-16
Latest Update: 2022-06-27
Description:
Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) <doi:10.18637/jss.v103.i05>, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924>, and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
How to cite:
Andrew Finley (2017). spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes. R package version 1.0.0, https://cran.r-project.org/web/packages/spNNGP
Previous versions and publish date:
0.1.0 (2017-07-16 17:50), 0.1.1 (2017-07-22 00:33), 0.1.2 (2019-09-03 10:50), 0.1.3 (2020-01-30 20:20), 0.1.4 (2020-03-30 17:50), 0.1.5 (2021-02-17 16:50), 0.1.6 (2021-09-20 16:50), 0.1.7 (2022-03-17 15:40), 0.1.8 (2022-05-24 13:00)
Other packages that cited spNNGP R package
View spNNGP citation profile
Other R packages that spNNGP depends, imports, suggests or enhances
Functions, R codes and Examples using the spNNGP R package
Some associated functions: BCEF.rda . MI_TSCA.rda . PGLogit . predict.NNGP . print.spDiag . spConjNNGP . spDiag . spNNGP . summary.NNGP . summary.PGLogit . 
Some associated R codes: PGLogit.R . generics.R . mkMatUtil.R . nn.R . spConjNNGP.R . spNNGP.R . util.R .  Full spNNGP package functions and examples
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