Functionalities to simulate space-time data and to estimate dynamic-spatial panel data models. Estimators implemented are the BCML (Elhorst (2010), <doi:10.1016/j.regsciurbeco.2010.03.003>), the MML (Elhorst (2010) <doi:10.1016/j.regsciurbeco.2010.03.003>) and the INLA Bayesian estimator (Lindgren and Rue, (2015) <doi:10.18637/jss.v063.i19>; Bivand, Gomez-Rubio and Rue, (2015) <doi:10.18637/jss.v063.i20>) adapted to panel data. The package contains functions to replicate the analyses of the scientific article entitled "Agricultural Productivity in Space" (Baldoni and Esposti (2021), <doi:10.1111/ajae.12155>)).
Version: 2.0 Depends: R (≥ 2.10) Imports: methods, Matrix, plyr, sp, spdep, spacetime, matrixcalc, maxLik Suggests: INLA, terra Published: 2023-06-08 DOI: 10.32614/CRAN.package.AGPRIS Author: Edoardo Baldoni [aut, cre] Maintainer: Edoardo Baldoni <edoardo.baldoni at gmail.com> License: GPL-3 NeedsCompilation: no In views: Agriculture CRAN checks: AGPRIS results Documentation: Reference manual: AGPRIS.pdf Downloads: Package source: AGPRIS_2.0.tar.gz Windows binaries: r-devel: AGPRIS_2.0.zip, r-release: AGPRIS_2.0.zip, r-oldrel: AGPRIS_2.0.zip macOS binaries: r-release (arm64): AGPRIS_2.0.tgz, r-oldrel (arm64): AGPRIS_2.0.tgz, r-release (x86_64): AGPRIS_2.0.tgz, r-oldrel (x86_64): AGPRIS_2.0.tgz Old sources: AGPRIS archive Linking:Please use the canonical form https://CRAN.R-project.org/package=AGPRIS to link to this page.
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