{ "_id": "6a1f282bb401979e734231b4", "Package": "demodelr", "Type": "Package", "Title": "Simulating Differential Equations with Data", "Version": "2.0.1", "Authors@R": "person(\"John\", \"Zobitz\", , \"zobitz@augsburg.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-1830-143X\"))", "Description": "Designed to support the visualization, numerical\ncomputation, qualitative analysis, model-data fusion, and\nstochastic simulation for autonomous systems of differential\nequations. Euler and Runge-Kutta methods are implemented, along\nwith tools to visualize the two-dimensional phaseplane.\nLikelihood surfaces and a simple Markov Chain Monte Carlo\nparameter estimator can be used for model-data fusion of\ndifferential equations and empirical models. The Euler-Maruyama\nmethod is provided for simulation of stochastic differential\nequations. The package was originally written for internal use\nto support teaching by Zobitz, and refined to support the text\n\"Exploring modeling with data and differential equations using\nR\" by John Zobitz (2021)\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "URL": "https://github.com/jmzobitz/demodelr", "BugReports": "https://github.com/jmzobitz/demodelr/issues", "Config/pak/sysreqs": "libicu-dev libssl-dev", "Repository": "https://jmzobitz.r-universe.dev", "Date/Publication": "2026-01-16 02:50:29 UTC", "RemoteUrl": "https://github.com/jmzobitz/demodelr", "RemoteRef": "HEAD", "RemoteSha": "b726f89f45cfdfd21a9806fc457d3e6129da5d70", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 05:23:14 UTC", "User": "root" }, "Author": "John Zobitz [aut, cre] (ORCID: )", "Maintainer": "John Zobitz ", "MD5sum": "90c5577226243ee40bae9bd87ecad10e", "_user": "jmzobitz", "_type": "src", "_file": "demodelr_2.0.1.tar.gz", "_fileid": 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