https://quicopt.r-universe.devRecent package updates in quicoptR-universehttps://github.com/quicopt.pnghttps://quicopt.r-universe.devThu, 15 Oct 2026 09:46:08 GMTt.bode@fz-juelich.de (Tim Bode)Write an optimization model in R and solve it with the 'Quicopt' service <https://quicopt.com>: state the decisions, the objective and the constraints, and the service finds the best decision. The model is sent to the service, so no solver needs to be installed. Uncertain data, such as demand or prices, is described by probability distributions or taken from the rows of a data frame, and the model can then minimize an expected cost, guard against bad outcomes, or require a condition to hold with a given probability. Decisions that are an ordering or an assignment, such as a delivery route, can be stated directly.https://github.com/r-universe/quicopt/actions/runs/38730288307Thu, 15 Oct 2026 09:46:08 GMTquicopt0.7.0successhttps://quicopt.r-universe.devhttps://github.com/Quicopt/quicopt-rstochastic.Rmdstochastic.htmlDeciding before the data arrives2026-09-01 19:31:272026-10-14 09:28:27deliveries.Rmddeliveries.htmlDeliveries, fees and teams2026-10-13 14:24:202026-10-14 09:28:27quicopt.Rmdquicopt.htmlGet started2026-10-05 08:54:442026-10-15 09:46:08permutations.Rmdpermutations.htmlOrderings and assignments2026-10-05 08:54:442026-10-14 09:28:27t.bode@fz-juelich.de (Tim Bode)Author an optimization model — including a model under uncertainty, with random variables, expectations, conditional value at risk and chance constraints — in a native R interface, and solve it with the 'Quicopt' service <https://quicopt.com>. Models are encoded to the service's wire format and solved remotely; no solver is installed locally. Random variables carry distributions or empirical scenario columns taken directly from a data frame, so observed history becomes a stochastic program in one call.https://github.com/r-universe/cran/actions/runs/38619802487Wed, 14 Oct 2026 11:10:08 GMTquicopt0.1.1successhttps://cran.r-universe.devhttps://github.com/cran/quicoptstochastic.Rmdstochastic.htmlDeciding before the data arrives2026-10-14 11:10:082026-10-14 11:10:08