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metafrontier  

Analysis of Metafrontier Models for Efficiency and Productivity
View on CRAN: Click here


Download and install metafrontier package within the R console
Install from CRAN:
install.packages("metafrontier")

Install from Github:
library("remotes")
install_github("cran/metafrontier")

Install by package version:
library("remotes")
install_version("metafrontier", "0.2.2")



Attach the package and use:
library("metafrontier")
Maintained by
Erik Enstad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
Implements metafrontier production function models for estimating technical efficiencies and technology gaps for firms operating under different technologies. Supports both stochastic frontier analysis (SFA) and data envelopment analysis (DEA) based metafrontiers. Includes the deterministic metafrontier of Battese, Rao, and O'Donnell (2004) <doi:10.1023/B:PROD.0000012454.06094.29>, the stochastic metafrontier of Huang, Huang, and Liu (2014) <doi:10.1007/s11123-014-0402-2>, and the metafrontier Malmquist productivity index of O'Donnell, Rao, and Battese (2008) <doi:10.1007/s00181-007-0119-4>. Additional features include panel SFA with time-varying inefficiency, bootstrap confidence intervals for technology gap ratios, latent class metafrontier estimation via the EM algorithm, Murphy-Topel corrected standard errors, and 'ggplot2' visualisation methods.
How to cite:
Erik Enstad (2026). metafrontier: Analysis of Metafrontier Models for Efficiency and Productivity. R package version 0.2.2, https://cran.r-project.org/web/packages/metafrontier. Accessed 05 Jun. 2026.
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