Fits Leroux model in spectral domain to estimate causal spatial effect as detailed in Guan, Y; Page, G.L.; Reich, B.J.; Ventrucci, M.; Yang, S; (2020) <arXiv:2012.11767>. Both the parametric and semi-parametric models are available. The semi-parametric model relies on 'INLA'. The 'INLA' package can be obtained from <https://www.r-inla.org/>.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | Matrix |
Suggests: | INLA |
Published: | 2021-05-15 |
Author: | Garritt L. Page [aut, cre], Massimo Ventrucci [aut], S. McKay Curtis [cph], Radford M. Neal [cph] |
Maintainer: | Garritt L. Page <page at stat.byu.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/gpage2990/eCAR |
NeedsCompilation: | yes |
Additional_repositories: | https://inla.r-inla-download.org/R/stable/ |
CRAN checks: | eCAR results |
Reference manual: | eCAR.pdf |
Package source: | eCAR_0.1.1.tar.gz |
Windows binaries: | r-devel: eCAR_0.1.1.zip, r-release: eCAR_0.1.1.zip, r-oldrel: eCAR_0.1.1.zip |
macOS binaries: | r-release (arm64): eCAR_0.1.1.tgz, r-oldrel (arm64): eCAR_0.1.1.tgz, r-release (x86_64): eCAR_0.1.1.tgz, r-oldrel (x86_64): eCAR_0.1.1.tgz |
Old sources: | eCAR archive |
Please use the canonical form https://CRAN.R-project.org/package=eCAR to link to this page.