https://pomelo64.r-universe.devRecent package updates in pomelo64R-universehttps://github.com/pomelo64.pnghttps://pomelo64.r-universe.devFri, 26 Jun 2026 17:09:15 GMTcontact@shahin-ashkiani.com (Shahin Ashkiani)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>.https://github.com/r-universe/pomelo64/actions/runs/28646363255Fri, 26 Jun 2026 17:09:15 GMTdeaviz0.1.0successhttps://pomelo64.r-universe.devhttps://github.com/pomelo64/deavizdeaviz.Rmddeaviz.htmlGetting started with deaviz2026-06-22 14:59:502026-06-26 17:09:15