ssfa

Spatial Stochastic Frontier Analysis

CRAN Package

Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.

  • Version1.2.2
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release08/28/2023

Documentation


Team


Insights

Last 30 days

This package has been downloaded 231 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 25 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
10 downloadsMar 4, 2025
17 downloadsMar 5, 2025
9 downloadsMar 6, 2025
6 downloadsMar 7, 2025
6 downloadsMar 8, 2025
2 downloadsMar 9, 2025
8 downloadsMar 10, 2025
9 downloadsMar 11, 2025
5 downloadsMar 12, 2025
6 downloadsMar 13, 2025
3 downloadsMar 14, 2025
11 downloadsMar 15, 2025
2 downloadsMar 16, 2025
0 downloadsMar 17, 2025
9 downloadsMar 18, 2025
11 downloadsMar 19, 2025
13 downloadsMar 20, 2025
9 downloadsMar 21, 2025
4 downloadsMar 22, 2025
3 downloadsMar 23, 2025
10 downloadsMar 24, 2025
5 downloadsMar 25, 2025
9 downloadsMar 26, 2025
3 downloadsMar 27, 2025
18 downloadsMar 28, 2025
4 downloadsMar 29, 2025
6 downloadsMar 30, 2025
2 downloadsMar 31, 2025
6 downloadsApr 1, 2025
25 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
0
25

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 3,897 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 83 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

  • Depends4 packages
  • Suggests1 package