Package: semsfa 1.1

Giancarlo Ferrara

semsfa: Semiparametric Estimation of Stochastic Frontier Models

Semiparametric Estimation of Stochastic Frontier Models following a two step procedure: in the first step semiparametric or nonparametric regression techniques are used to relax parametric restrictions of the functional form representing technology and in the second step variance parameters are obtained by pseudolikelihood estimators or by method of moments.

Authors:Giancarlo Ferrara and Francesco Vidoli

semsfa_1.1.tar.gz
semsfa_1.1.tar.gz(r-4.5-noble)semsfa_1.1.tar.gz(r-4.4-noble)
semsfa_1.1.tgz(r-4.4-emscripten)semsfa_1.1.tgz(r-4.3-emscripten)
semsfa.pdf |semsfa.html✨
semsfa/json (API)

# Install 'semsfa' in R:
install.packages('semsfa', repos = 'https://cloud.r-project.org')

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 1 stars 216 downloads 1 mentions 5 exports 22 dependencies

Last updated 7 years agofrom:abcd378af9. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-linuxOKMar 22 2025
R-4.4-linuxOKMar 22 2025

Exports:efficiencies.semsfafanplot.semsfasemsfasummary.semsfa

Dependencies:bootcodetoolscubaturedoParallelforeachgamlssgamlss.datagamlss.distiteratorslatticeMASSMatrixMatrixModelsmgcvmomentsnlmenpquadprogquantregRcppSparseMsurvival

Citation

To cite package ‘semsfa’ in publications use:

Ferrara G, Vidoli F (2018). semsfa: Semiparametric Estimation of Stochastic Frontier Models. R package version 1.1, https://CRAN.R-project.org/package=semsfa.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {semsfa: Semiparametric Estimation of Stochastic Frontier
      Models},
    author = {Giancarlo Ferrara and Francesco Vidoli},
    year = {2018},
    note = {R package version 1.1},
    url = {https://CRAN.R-project.org/package=semsfa},
  }