edoardoBaldoni/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) <10.18637/jss.v063.i19>; Bivand, Gomez-Rubio and Rue, (2015) <10.18637/jss.v063.i20>) adapted to panel data. The package contains data and functions to replicate the analyses of the scientific article entitled "Agricultural Productivity in Space" (Baldoni and Esposti (under revision)).

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("edoardoBaldoni/AGPRIS")
edoardoBaldoni/AGPRIS documentation built on Sept. 27, 2020, 12:04 a.m.