Analysis of Metafrontier Models for Efficiency and Productivity R package metafrontier version 0.2.2 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. Software Depends: R (>= 4.0.0) Imports: stats, graphics, grDevices, Formula, numDeriv, lpSolveAPI, methods Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sfaR, frontier, Benchmarking, plm, ggplot2, parallel Erik Enstad <erik.enstad@nhh.no> Comprehensive R Archive Network (CRAN) Erik Enstad [aut, cre] (ORCID: <https://orcid.org/0009-0006-1053-3849>) GPL (>= 3) 2026-04-21 application/tgz https://CRAN.R-project.org/package=metafrontier doi:10.32614/CRAN.package.metafrontier