Package: spNNGP 1.0.2

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

Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) <doi:10.18637/jss.v103.i05>, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924>, and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.

Authors:Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut]

spNNGP_1.0.2.tar.gz
spNNGP_1.0.2.zip(r-4.7-x86_64)spNNGP_1.0.2.zip(r-4.7-arm64)spNNGP_1.0.2.zip(r-4.6-x86_64)spNNGP_1.0.2.zip(r-4.6-arm64)spNNGP_1.0.2.zip(r-4.5-x86_64)
spNNGP_1.0.2.tgz(r-4.6-x86_64)spNNGP_1.0.2.tgz(r-4.6-arm64)spNNGP_1.0.2.tgz(r-4.5-x86_64)spNNGP_1.0.2.tgz(r-4.5-arm64)
spNNGP_1.0.2.tar.gz(r-4.7-arm64)spNNGP_1.0.2.tar.gz(r-4.7-x86_64)spNNGP_1.0.2.tar.gz(r-4.6-arm64)spNNGP_1.0.2.tar.gz(r-4.6-x86_64)
spNNGP_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
spNNGP/json (API)

# Install 'spNNGP' in R:

install.packages('spNNGP', repos = c('https://finleya.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/finleya/spnngp/issues

Pkgdown/docs site:https://finleya.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

BCEF - Forest Canopy Height from NASA Goddard's LiDAR Hyperspectral and Thermal (G-LiHT) over Bonanza Creek Experimental Forest
MI_TSCA - Occurrence of Tsuga canadensis (Eastern hemlock) in Michigan

On CRAN:

openblas cpp openmp

4.23 score 1 packages 113 scripts 535 downloads 1 mentions 4 exports 4 dependencies

Last updated from:04502476a6. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	113
linux-devel-x86_64	OK	131
source / vignettes	OK	179
linux-release-arm64	OK	108
linux-release-x86_64	OK	263
macos-release-arm64	OK	105
macos-release-x86_64	OK	249
macos-oldrel-arm64	OK	108
macos-oldrel-x86_64	OK	265
windows-devel-arm64	OK	298
windows-devel-x86_64	OK	120
windows-release-arm64	OK	291
windows-release-x86_64	OK	81
windows-oldrel-x86_64	OK	101
wasm-release	OK	112

Exports:PGLogit spConjNNGP spDiag spNNGP

Dependencies:coda Formula lattice RANN

Citation

Development and contributors

Readme and manuals

Help Manual

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