Package: ngspatial 1.2-2
John Hughes
ngspatial: Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data
Provides tools for analyzing spatial data, especially non- Gaussian areal data. The current version supports the sparse restricted spatial regression model of Hughes and Haran (2013) <doi:10.1111/j.1467-9868.2012.01041.x>, the centered autologistic model of Caragea and Kaiser (2009) <doi:10.1198/jabes.2009.07032>, and the Bayesian spatial filtering model of Hughes (2017) <arxiv:1706.04651>.
Authors:
ngspatial_1.2-2.tar.gz
ngspatial_1.2-2.zip(r-4.7-x86_64)ngspatial_1.2-2.zip(r-4.7-arm64)ngspatial_1.2-2.zip(r-4.6-x86_64)ngspatial_1.2-2.zip(r-4.6-arm64)
ngspatial_1.2-2.tar.gz(r-4.7-arm64)ngspatial_1.2-2.tar.gz(r-4.7-x86_64)ngspatial_1.2-2.tar.gz(r-4.6-arm64)ngspatial_1.2-2.tar.gz(r-4.6-x86_64)
ngspatial_1.2-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ngspatial/json (API)
| # Install 'ngspatial' in R: |
| install.packages('ngspatial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f6372a2106. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 131 | ||
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 132 | ||
| linux-release-arm64 | OK | 92 | ||
| linux-release-x86_64 | OK | 102 | ||
| windows-devel-arm64 | OK | 190 | ||
| windows-devel-x86_64 | OK | 143 | ||
| windows-release-arm64 | OK | 268 | ||
| windows-release-x86_64 | OK | 112 | ||
| wasm-release | OK | 119 |
Exports:adjacency.matrixautologisticnegbinomialrautologisticsparse.sglmm
Dependencies:batchmeansRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjacency matrix for the infant mortality data. | A |
| Return an adjacency matrix for a square lattice. | adjacency.matrix |
| Fit a centered autologistic model using maximum pseudolikelihood estimation or MCMC for Bayesian inference. | autologistic |
| Infant mortality data. | infant |
| Family function for negative binomial GLMs. | negbinomial |
| Return a perfect sample from a centered autologistic model. | rautologistic |
| Extract model residuals. | residuals.autologistic |
| Extract model residuals. | residuals.sparse.sglmm |
| Fit a sparse SGLMM. | sparse.sglmm |
| Print a summary of a centered autologistic model fit. | summary.autologistic |
| Print a summary of a sparse SGLMM fit. | summary.sparse.sglmm |
| Return the estimated covariance matrix for an 'autologistic' model object. | vcov.autologistic |
| Return the covariance matrix of the regression parameters of a 'sparse.sglmm' model object. | vcov.sparse.sglmm |