AGPRIS: AGricultural PRoductivity in Space

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 (under revision)).

Version: 1.0
Depends: R (≥ 2.10)
Imports: methods, Matrix, plyr, rgdal, sp, spdep, spacetime, matrixcalc, maxLik
Suggests: INLA
Published: 2020-09-23
Author: Edoardo Baldoni ORCID iD [aut, cre]
Maintainer: Edoardo Baldoni <edoardo.baldoni at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: AGPRIS results

Documentation:

Reference manual: AGPRIS.pdf

Downloads:

Package source: AGPRIS_1.0.tar.gz
Windows binaries: r-devel: AGPRIS_1.0.zip, r-release: AGPRIS_1.0.zip, r-oldrel: AGPRIS_1.0.zip
macOS binaries: r-release (arm64): AGPRIS_1.0.tgz, r-release (x86_64): AGPRIS_1.0.tgz, r-oldrel: AGPRIS_1.0.tgz

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