The package contains methods to support frontier analysis.
It covers Data Envelopment Analysis (DEA). DEA is supported
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. The package 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. The
package 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.

Benchmark and Frontier Analysis Using DEA and SFA
The Benchmarking package contains methods for frontier
analysis. It supports 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. The package 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. The package 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.

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.