sfaR
Stochastic Frontier Analysis Routines
Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit) and cost functions. The package includes the basic stochastic frontier for cross-sectional or pooled data with several distributions for the one-sided error term (i.e., Rayleigh, gamma, Weibull, lognormal, uniform, generalized exponential and truncated skewed Laplace), the latent class stochastic frontier model (LCM) as described in Dakpo et al. (2021) <doi:10.1111/1477-9552.12422>, for cross-sectional and pooled data, and the sample selection model as described in Greene (2010) <doi:10.1007/s11123-009-0159-1>, and applied in Dakpo et al. (2021) <doi:10.1111/agec.12683>. Several possibilities in terms of optimization algorithms are proposed.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | sfaR_1.0.1.tar.gz |
2.8 MiB |
1.0.1 |
rolling linux/noble R-4.5 | sfaR_1.0.1.tar.gz |
2.8 MiB |
1.0.1 |
rolling source/ R- | sfaR_1.0.1.tar.gz |
667.5 KiB |
1.0.1 |
latest linux/jammy R-4.5 | sfaR_1.0.1.tar.gz |
2.8 MiB |
1.0.1 |
latest linux/noble R-4.5 | sfaR_1.0.1.tar.gz |
2.8 MiB |
1.0.1 |
latest source/ R- | sfaR_1.0.1.tar.gz |
667.5 KiB |
1.0.1 |
2026-04-26 source/ R- | sfaR_1.0.1.tar.gz |
667.5 KiB |
1.0.1 |
2026-04-23 source/ R- | sfaR_1.0.1.tar.gz |
667.5 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | sfaR_1.0.1.zip |
2.8 MiB |
1.0.1 |
2025-04-20 source/ R- | sfaR_1.0.1.tar.gz |
667.5 KiB |