spNNGP v0.1.1

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by Andrew Finley

Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

Fits Gaussian univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2017) <arXiv:1702.00434v2>.

Functions in spNNGP

Name Description
CHM Canopy Height Model from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT)
spConjNNGP Function for fitting univariate Bayesian conjugate spatial regression models
spNNGP Function for fitting univariate Bayesian spatial regression models
spPredict Function for prediction at new locations using spNNGP models.
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Details

Date 2017-07-14
License GPL (>= 2)
Encoding UTF-8
URL http://blue.for.msu.edu/software.html
Repository CRAN
NeedsCompilation yes
Packaged 2017-07-21 14:42:41 UTC; andy
Date/Publication 2017-07-21 22:33:23 UTC

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