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 (2021), doi:10.1111/ajae.12155).
- Version2.0
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?No
- Last release06/08/2023
Documentation
Team
Edoardo Baldoni
Insights
Last 30 days
This package has been downloaded 277 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,502 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Aug 28, 2024 with 57 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports6 packages
- Suggests1 package