Package: spNNGP 1.0.1

Andrew Finley

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_1.0.1.tar.gz
spNNGP_1.0.1.tar.gz(r-4.5-noble)spNNGP_1.0.1.tar.gz(r-4.4-noble)
spNNGP_1.0.1.tgz(r-4.4-emscripten)spNNGP_1.0.1.tgz(r-4.3-emscripten)
spNNGP.pdf |spNNGP.html
spNNGP/json (API)

# Install 'spNNGP' in R:
install.packages('spNNGP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.58 score 6 stars 64 scripts 381 downloads 1 mentions 4 exports 4 dependencies

Last updated 3 months agofrom:97c5bc299b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linux-x86_64OKNov 23 2024

Exports:PGLogitspConjNNGPspDiagspNNGP

Dependencies:codaFormulalatticeRANN