Package: ngspatial 1.2-2
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-4.5)ngspatial_1.2-2.zip(r-4.4)ngspatial_1.2-2.zip(r-4.3)
ngspatial_1.2-2.tgz(r-4.4-x86_64)ngspatial_1.2-2.tgz(r-4.4-arm64)ngspatial_1.2-2.tgz(r-4.3-x86_64)ngspatial_1.2-2.tgz(r-4.3-arm64)
ngspatial_1.2-2.tar.gz(r-4.5-noble)ngspatial_1.2-2.tar.gz(r-4.4-noble)
ngspatial_1.2-2.tgz(r-4.4-emscripten)ngspatial_1.2-2.tgz(r-4.3-emscripten)
ngspatial.pdf |ngspatial.html✨
ngspatial/json (API)
| # Install 'ngspatial' in R: |
| install.packages('ngspatial', repos = c('https://drjphughesjr.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 5 years agofrom:f6372a2106. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-win-x86_64 | OK | Nov 18 2024 |
| R-4.5-linux-x86_64 | OK | Nov 18 2024 |
| R-4.4-win-x86_64 | OK | Nov 18 2024 |
| R-4.4-mac-x86_64 | OK | Nov 18 2024 |
| R-4.4-mac-aarch64 | OK | Nov 18 2024 |
| R-4.3-win-x86_64 | OK | Nov 18 2024 |
| R-4.3-mac-x86_64 | OK | Nov 18 2024 |
| R-4.3-mac-aarch64 | OK | Nov 18 2024 |
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 |
