R: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

# Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

## Documentation for package ‘spNNGP’ version 1.0.1

- DESCRIPTION file

## Help Pages

BCEF | Forest Canopy Height from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT) over Bonanza Creek Experimental Forest
fitted.NNGP | Methods for NNGP and Derived Objects
fitted.PGLogit | Methods for PGLogit Object
MI_TSCA | Occurrence of Tsuga canadensis (Eastern hemlock) in Michigan
PGLogit | Function for Fitting Logistic Models using Polya-Gamma Latent Variables
predict.NNGP | Function for prediction at new locations using 'NNGP' models.
print.NNGP | Methods for NNGP and Derived Objects
print.PGLogit | Methods for PGLogit Object
print.predict.NNGP | Methods for NNGP and Derived Objects
print.spDiag | Methods for spDiag Object
residuals.NNGP | Methods for NNGP and Derived Objects
residuals.PGLogit | Methods for PGLogit Object
spConjNNGP | Function for Fitting Univariate Bayesian Conjugate Spatial Regression Models
spDiag | Model fit diagnostics
spNNGP | Function for Fitting Univariate Bayesian Spatial Regression Models
summary.NNGP | Methods for NNGP and Derived Objects
summary.PGLogit | Methods for PGLogit Object