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spNNGP (version 1.0.1)

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 (2022) , 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

1.0.1

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

September 23rd, 2024

Functions in spNNGP (1.0.1)

summary.NNGP

Methods for NNGP and Derived Objects
spDiag

Model fit diagnostics
summary.PGLogit

Methods for PGLogit Object
spNNGP

Function for Fitting Univariate Bayesian Spatial Regression Models
print.spDiag

Methods for spDiag Object
spConjNNGP

Function for Fitting Univariate Bayesian Conjugate Spatial Regression Models
PGLogit

Function for Fitting Logistic Models using Polya-Gamma Latent Variables
predict.NNGP

Function for prediction at new locations using NNGP models.
MI_TSCA

Occurrence of Tsuga canadensis (Eastern hemlock) in Michigan
BCEF

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