Measure productivity and efficiency using Data Envelopment Analysis (DEA). Available methods include DEA under different technology assumptions, bootstrapping of efficiency scores and calculation of the Malmquist productivity index. Analyses can be performed either in the console or with the provided 'shiny' app. See Banker, R.; Charnes, A.; Cooper, W.W. (1984) <doi:10.1287/mnsc.30.9.1078>, Färe, R.; Grosskopf, S. (1996) <doi:10.1007/978-94-009-1816-0>.
Version: 0.5.0 Depends: R (≥ 4.1.0), shiny (≥ 1.7.0) Imports: bslib (≥ 0.6.0), bsicons, cli (≥ 3.6.0), ggplot2 (≥ 3.3.0), haven (≥ 2.5.0), htmltools, lpSolveAPI (≥ 5.5.2), markdown, reactable (≥ 0.4.0), readxl, rlang (≥ 1.1.0), scales, writexl Suggests: deaR, rmarkdown, knitr, testthat (≥ 3.0.0), tibble, withr Published: 2024-10-25 DOI: 10.32614/CRAN.package.pioneeR Author: Ove Haugland Jakobsen [aut, cre], Aleksander Eilertsen Valberg [aut], Jan Roar Beckstrøm [ctb], Lars Skaage Engebretsen [ctb], Jonas MÃ¥nsson [ctb], Joachim Sandnes [ctb], National Audit Office of Norway [cph] Maintainer: Ove Haugland Jakobsen <ohj at mac.com> BugReports: https://github.com/Riksrevisjonen/pioneeR/issues License: GPL-3 URL: https://riksrevisjonen.github.io/pioneeR/, https://github.com/Riksrevisjonen/pioneeR NeedsCompilation: no Language: en-GB Materials: README NEWS CRAN checks: pioneeR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pioneeR to link to this page.
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