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-4.7)sfadv_1.0.1.zip(r-4.6)sfadv_1.0.1.zip(r-4.5)
sfadv_1.0.1.tgz(r-4.6-any)sfadv_1.0.1.tgz(r-4.5-any)
sfadv_1.0.1.tar.gz(r-4.7-any)sfadv_1.0.1.tar.gz(r-4.6-any)
sfadv_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sfadv/json (API)
NEWS

# Install 'sfadv' in R:
install.packages('sfadv', repos = c('https://ydesjeux.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Farms - Data set of farm accountancy data

On CRAN:

Conda:

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 146 downloads 3 exports 5 dependencies

Last updated from:25a74149c4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK155
linux-release-x86_64OK97
macos-release-arm64OK81
macos-oldrel-arm64OK108
windows-develOK79
windows-releaseOK67
windows-oldrelOK116
wasm-releaseOK88

Exports:print.summary.sfaendogsfaendogsummary.sfaendog

Dependencies:gmmlatticeminpack.lmsandwichzoo