deaviz - Visualization of Data Envelopment Analysis Problems
High-dimensional visualization methods for data
envelopment analysis (DEA), gathering in one place techniques
that have appeared in the literature but remained scattered and
largely unimplemented: cross-efficiency matrix unfolding, the
Porembski network with lambda edges, principal component
analysis biplots, multidimensional-scaling colour-plots,
self-organizing maps, the Costa bi-dimensional efficient
frontier, parallel coordinates, radar charts, panel-data
trajectory biplots, peer and reference networks, and a set of
descriptive plots. The package is built around a single
validated dea_data() object and uses the 'Benchmarking' package
as its DEA engine. The implemented methods draw on a body of
literature; representative references include Doyle and Green
(1994) <doi:10.1057/jors.1994.84>, Porembski, Breitenstein and
Alpar (2005) <doi:10.1007/s11123-005-1328-5> and Bana e Costa,
Soares de Mello and Angulo Meza (2016)
<doi:10.1016/j.ejor.2016.05.012>.
