https://iik1.r-universe.devRecent package updates in iik1R-universehttps://github.com/iik1.pnghttps://iik1.r-universe.devWed, 15 Jul 2026 12:58:45 GMTerik.enstad@nhh.no (Erik Enstad)Implements metafrontier production function models for estimating technical efficiencies and technology gaps for groups of firms that face different restrictions of a common underlying metatechnology (group-specific technologies in the sense of Battese, Rao, and O'Donnell, 2004). 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>. The deterministic metafrontier can be identified by either the minimum sum of absolute deviations (LP) or the minimum sum of squared deviations (QP) criterion. Additional features include panel SFA with time-varying inefficiency, bootstrap confidence intervals for technology gap ratios, a DEA poolability permutation test, latent class metafrontier estimation via the EM algorithm, Murphy-Topel corrected standard errors, convergence diagnostics, import of pre-fitted models from external estimation engines ('sfaR', 'frontier', 'Benchmarking'), and 'ggplot2' visualisation methods.https://github.com/r-universe/iik1/actions/runs/29427359467Wed, 15 Jul 2026 12:58:45 GMTmetafrontier0.3.0successhttps://iik1.r-universe.devhttps://github.com/iik1/metafrontierintroduction.Rmdintroduction.htmlIntroduction to metafrontier2026-04-10 14:37:252026-07-15 10:06:39malmquist.Rmdmalmquist.htmlMetafrontier Malmquist Productivity Index2026-04-11 11:00:342026-07-15 10:06:39methods.Rmdmethods.htmlMetafrontier Methods: Theory and Computation2026-04-10 14:37:252026-07-15 10:06:39