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metafrontier

Analysis of Metafrontier Models for Efficiency and Productivity

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.

Versions across snapshots

VersionRepositoryFileSize
0.2.2 rolling linux/jammy R-4.5 metafrontier_0.2.2.tar.gz 342.9 KiB
0.2.2 rolling linux/noble R-4.5 metafrontier_0.2.2.tar.gz 342.7 KiB
0.2.2 rolling source/ R- metafrontier_0.2.2.tar.gz 190.3 KiB
0.2.2 latest linux/jammy R-4.5 metafrontier_0.2.2.tar.gz 342.9 KiB
0.2.2 latest linux/noble R-4.5 metafrontier_0.2.2.tar.gz 342.7 KiB
0.2.2 latest source/ R- metafrontier_0.2.2.tar.gz 190.3 KiB
0.2.2 2026-04-26 source/ R- metafrontier_0.2.2.tar.gz 190.3 KiB
0.2.2 2026-04-23 source/ R- metafrontier_0.2.2.tar.gz 190.3 KiB

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