Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models R package optedr version 3.0.1 Calculates D-, Ds-, A-, I- and L-optimal designs, weighted combinations of these via a Compound criterion, and KL-optimal designs for model discrimination, for non-linear single- and multi-factor models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Multi-factor models use design variables x1, x2, … with a named-list design space; single-factor models remain backward compatible. Compares designs via their efficiency, augments any design with a controlled efficiency loss, and provides efficient rounding functions to convert approximate designs to exact ones. Software Imports: ggplot2, purrr, rlang, crayon, cli, shiny, utils Suggests: testthat (>= 3.0.0), mockery, knitr, rmarkdown, markdown, DT, shinydashboard, shinyalert, plotly, hrbrthemes, shinyjs, orthopolynom, magrittr, tidyverse, nleqslv Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com> Comprehensive R Archive Network (CRAN) Carlos de la Calle-Arroyo [aut, cre] (ORCID: <https://orcid.org/0000-0002-5099-888X>), Jesús López-Fidalgo [aut] (ORCID: <https://orcid.org/0000-0001-7502-8188>), Licesio J. Rodríguez-Aragón [aut] (ORCID: <https://orcid.org/0000-0003-4970-3877>) GPL-3 2026-07-03 application/tgz https://CRAN.R-project.org/package=optedr doi:10.32614/CRAN.package.optedr