https://pbenavidesh.r-universe.devRecent package updates in pbenavideshR-universehttps://github.com/pbenavidesh.pnghttps://pbenavidesh.r-universe.devMon, 14 Sep 2026 19:54:03 GMTpbenavides@iteso.mx (Pablo Benavides-Herrera)Implements four support vector regression (SVR) models derived from a unified mathematical framework for percentage-error loss functions: epsilon-SVR minimizing the mean absolute percentage error (MAPE), its symmetric kernel extension, least-squares SVR (LS-SVR) minimizing the root mean square percentage error (RMSPE), and its symmetric counterpart. All models require strictly positive targets. The epsilon-SVR models are solved via a built-in sequential minimal optimization (SMO) algorithm (with 'osqp' available as an optional alternative backend) and the LS-SVR models via a linear system (base R). See Benavides-Herrera et al. (2026) <doi:10.3390/math14101679> for the mathematical derivations.https://github.com/r-universe/pbenavidesh/actions/runs/36120746601Mon, 14 Sep 2026 19:54:03 GMTpsvr0.1.0successhttps://pbenavidesh.r-universe.devhttps://github.com/pbenavidesh/psvrgetting-started.Rmdgetting-started.htmlGetting Started with psvr2026-04-18 08:22:382026-08-12 06:25:30tidymodels-workflow.Rmdtidymodels-workflow.htmltidymodels workflow with psvr2026-04-18 15:48:032026-08-11 18:21:10