{ "_id": "6a48fb12b5e98c4082a050fc", "Package": "lopensemble", "Title": "Create Mixture Models From Predictive Samples", "Version": "0.1.2.9000", "Authors@R": "c(person(given = \"Nikos\",\nfamily = \"Bosse\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"nikosbosse@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7750-5280\")),\nperson(given = \"Yuling\",\nfamily = \"Yao\",\nrole = c(\"aut\"),\nemail = \"yy2619@columbia.edu\"),\nperson(given = \"Sam\",\nfamily = \"Abbott\",\nrole = c(\"aut\"),\nemail = \"contact@samabbott.co.uk\",\ncomment = c(ORCID = \"0000-0001-8057-8037\")),\nperson(given = \"Sebastian\",\nfamily = \"Funk\",\nrole = c(\"aut\"),\nemail = \"sebastian.funk@lshtm.ac.uk\",\ncomment = c(ORCID = \"0000-0002-2842-3406\")))", "Description": "Combines predictions from individual time series or panel\ndata models into an ensemble using stacking (Yao, Vehtari,\nSimpson, and Gelman (2018) ) based on\nthe Continuous Ranked Probability Score (CRPS) (Gneiting and\nRaftery (2007) ) over k-step\nahead predictions. Predictions must be predictive distributions\nrepresented by samples, typically posterior predictive\nsimulation draws from a Markov chain Monte Carlo (MCMC)\nalgorithm. Given training data with observed values and\npredictive samples from different models, optimal stacking\nweights are computed to minimize expected cross-validation\npredictive error. These weights can then be used to generate\nsamples from the mixture model by drawing from individual model\npredictions in the correct proportions.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Biarch": "true", "Remotes": [ "stan-dev/cmdstanr" ], "SystemRequirements": "CmdStan (>=2.29)", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Repository": "https://epiforecasts.r-universe.dev", "Date/Publication": "2026-01-30 14:51:24 UTC", "RemoteUrl": "https://github.com/epiforecasts/lopensemble", "RemoteRef": "v0.1.3", "RemoteSha": "cd260b8a8dac089bd8d188fc32ef937f988ad296", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 12:19:20 UTC", "User": "root" }, "Author": "Nikos Bosse [aut, cre, cph] (ORCID:\n),\nYuling Yao [aut],\nSam Abbott [aut] (ORCID: ),\nSebastian Funk [aut] (ORCID: )", "Maintainer": "Nikos Bosse ", "_user": "epiforecasts", "_type": "src", "_file": "lopensemble_0.1.2.9000.tar.gz", "_fileid": 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