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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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 4 scripts 255 downloads 1 mentions 5 exports 22 dependencies

Last updated 7 years agofrom:abcd378af9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linuxOKDec 22 2024

Exports:efficiencies.semsfafanplot.semsfasemsfasummary.semsfa

Dependencies:bootcodetoolscubaturedoParallelforeachgamlssgamlss.datagamlss.distiteratorslatticeMASSMatrixMatrixModelsmgcvmomentsnlmenpquadprogquantregRcppSparseMsurvival