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AGPRIS  

AGricultural PRoductivity in Space
View on CRAN: Click here


Download and install AGPRIS package within the R console
Install from CRAN:
install.packages("AGPRIS")

Install from Github:
library("remotes")
install_github("cran/AGPRIS")

Install by package version:
library("remotes")
install_version("AGPRIS", "2.0")



Attach the package and use:
library("AGPRIS")
Maintained by
Edoardo Baldoni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-23
Latest Update: 2023-06-08
Description:
Functionalities to simulate space-time data and to estimate dynamic-spatial panel data models. Estimators implemented are the BCML (Elhorst (2010), ), the MML (Elhorst (2010) ) and the INLA Bayesian estimator (Lindgren and Rue, (2015) ; Bivand, Gomez-Rubio and Rue, (2015) ) 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), )).
How to cite:
Edoardo Baldoni (2020). AGPRIS: AGricultural PRoductivity in Space. R package version 2.0, https://cran.r-project.org/web/packages/AGPRIS. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0 (2020-09-23 17:20)
Other packages that cited AGPRIS R package
View AGPRIS citation profile
Other R packages that AGPRIS depends, imports, suggests or enhances
Complete documentation for AGPRIS
Functions, R codes and Examples using the AGPRIS R package
Some associated functions: bcml . distOte . inla.st . map1 . map2 . map3 . map4 . mml . r100km . r20km . r40km . r60km . regsamp . sel_regioni . sim_data_fe . tabSard . 
Some associated R codes: apis_functions.R . distOte.R . map1.R . map2.R . map3.R . map4.R . r100km.R . r20km.R . r40km.R . r60km.R . regsamp.R . sel_regioni.R . tabSard.R .  Full AGPRIS package functions and examples
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