Package: Benchmarking
Type: Package
Title: Benchmark and Frontier Analysis Using DEA and SFA
Version: 0.28
Date: 2019-12-17
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23@gmail.com>
Depends: lpSolveAPI, ucminf
Imports: methods, stats, graphics, grDevices
Description: Methods for frontier
analysis, Data Envelopment Analysis (DEA), under different
technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
and using different efficiency measures (input based, output based,
hyperbolic graph, additive, super, and directional efficiency). Peers
and slacks are available, partial price information can be included,
and optimal cost, revenue and profit can be calculated. Evaluation of
mergers is also supported.  Methods for graphing the technology sets
are also included. There is also support comparative methods based
on Stochastic Frontier Analyses (SFA). In general, the methods can be
used to solve not only standard models, but also many other model
variants. It complements the book, Bogetoft and Otto,
Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
course also be used as a stand-alone package.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2019-12-18 21:04:13 UTC; lao
Repository: CRAN
Date/Publication: 2019-12-18 21:40:02 UTC

Package: Benchmarking
Type: Package
Title: Benchmark and Frontier Analysis Using DEA and SFA
Version: 0.29
Date: 2020-8-8
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23@gmail.com>
Depends: lpSolveAPI, ucminf, quadprog
Imports: methods, stats, graphics, grDevices, Rcpp
LinkingTo: Rcpp
Description: Methods for frontier
analysis, Data Envelopment Analysis (DEA), under different
technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
and using different efficiency measures (input based, output based,
hyperbolic graph, additive, super, and directional efficiency). Peers
and slacks are available, partial price information can be included,
and optimal cost, revenue and profit can be calculated. Evaluation of
mergers is also supported.  Methods for graphing the technology sets
are also included. There is also support for comparative methods based
on Stochastic Frontier Analyses (SFA) and for convex nonparametric
least squares for convex functions (StoNED). In general, the methods
can be used to solve not only standard models, but also many other
model variants. It complements the book, Bogetoft and Otto,
Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
course also be used as a stand-alone package.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2020-08-07 08:49:15 UTC; lao
Repository: CRAN
Date/Publication: 2020-08-07 09:52:06 UTC