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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:abcd378af9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
Exports:efficiencies.semsfafanplot.semsfasemsfasummary.semsfa
Dependencies:bootcodetoolscubaturedoParallelforeachgamlssgamlss.datagamlss.distiteratorslatticeMASSMatrixMatrixModelsmgcvmomentsnlmenpquadprogquantregRcppSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Semiparametric Stochastic Frontier Models | semsfa-package |
| Prediction of the individual efficiency score | efficiencies.semsfa |
| Pseudolikelihood estimator of the lambda parameter | fan |
| Default SEMSFA plotting | plot.semsfa |
| Semiparametric Estimation of Stochastic Frontier Models | semsfa |
| Summary for 'semsfa' object | summary.semsfa |