Package: ssfa 1.2.2

Elisa Fusco

ssfa: Spatial Stochastic Frontier Analysis

Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.

Authors:Elisa Fusco, Francesco Vidoli

ssfa_1.2.2.tar.gz
ssfa_1.2.2.tar.gz(r-4.5-noble)ssfa_1.2.2.tar.gz(r-4.4-noble)
ssfa_1.2.2.tgz(r-4.4-emscripten)ssfa_1.2.2.tgz(r-4.3-emscripten)
ssfa.pdf |ssfa.html
ssfa/json (API)
NEWS

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

Peer review:

Datasets:

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

2.64 score 2 stars 22 scripts 255 downloads 1 mentions 13 exports 35 dependencies

Last updated 1 years agofrom:ed4df0ba27. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linuxNOTEDec 24 2024

Exports:eff.ssfafitted.ssfaL_hNVL_hNV_rhoplot_fittedplot_moranprint.ssfaprint.summary.ssfaresiduals.ssfassfassfa.fitsummary.ssfau.ssfa

Dependencies:bootclassclassIntcodacodetoolsDBIdeldirdigeste1071genericsKernSmoothlatticeLearnBayesmagrittrMASSMatrixmaxLikmiscToolsmultcompmvtnormnlmeproxyRcpps2sandwichsfspspatialregspDataspdepsurvivalTH.dataunitswkzoo

Spatial Stochastic frontier models: Instructions for use

Rendered fromssfavignette.Rnwusingutils::Sweaveon Dec 24 2024.

Last update: 2015-06-09
Started: 2015-06-09