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spNNGP (version 0.1.3)

Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

Description

Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2020) , and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) and Datta, Banerjee, Finley, and Gelfand (2016) .

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Version

Install

install.packages('spNNGP')

Monthly Downloads

310

Version

0.1.3

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

January 30th, 2020

Functions in spNNGP (0.1.3)

MI_TSCA

Occurrence of Tsuga canadensis (Eastern hemlock) in Michigan
summary.PGLogit

Methods for PGLogit Object
PGLogit

Function for Fitting Logistic Models using Polya-Gamma Latent Variables
BCEF

Forest Canopy Height from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT) over Bonanza Creek Experimental Forest
spDiag

Model fit diagnostics
summary.NNGP

Methods for NNGP and Derived Objects
print.spDiag

Methods for spDiag Object
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 NNGP models.