Package: sfadv 1.0.1

sfadv: Advanced Methods for Stochastic Frontier Analysis

Stochastic frontier analysis with advanced methods. In particular, it applies the approach proposed by Latruffe et al. (2017) <doi:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical inefficiency effects when one input is endogenous.

Authors:Yann Desjeux [aut, cre], Laure Latruffe [aut], Alain Carpentier [ctb]

sfadv_1.0.1.tar.gz
sfadv_1.0.1.zip(r-4.5)sfadv_1.0.1.zip(r-4.4)sfadv_1.0.1.zip(r-4.3)
sfadv_1.0.1.tgz(r-4.4-any)sfadv_1.0.1.tgz(r-4.3-any)
sfadv_1.0.1.tar.gz(r-4.5-noble)sfadv_1.0.1.tar.gz(r-4.4-noble)
sfadv_1.0.1.tgz(r-4.4-emscripten)sfadv_1.0.1.tgz(r-4.3-emscripten)
sfadv.pdf |sfadv.html
sfadv/json (API)
NEWS

# Install 'sfadv' in R:
install.packages('sfadv', repos = c('https://ydesjeux.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Farms - Data set of farm accountancy data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 136 downloads 3 exports 5 dependencies

Last updated 7 years agofrom:25a74149c4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:print.summary.sfaendogsfaendogsummary.sfaendog

Dependencies:gmmlatticeminpack.lmsandwichzoo