Learn R Programming
⚠️There's a newer version (1.0.1) of this package.Take me there.

spNNGP (version 0.1.1)

Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

Description

Fits Gaussian univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Datta, Banerjee, Finley, and Gelfand (2016) and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2017) .

Copy Link

Version

Install

install.packages('spNNGP')

Monthly Downloads

310

Version

0.1.1

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

July 21st, 2017

Functions in spNNGP (0.1.1)

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.