{ "_id": "6adb447f1206290b6ab769e8", "Package": "pmxNODE", "Type": "Package", "Title": "Application of NODEs in 'Monolix', 'NONMEM', and 'nlmixr2'", "Version": "0.2.1", "Authors@R": "c(person(\"Dominic\", \"Bräm\", role = c(\"aut\", \"cre\"),\nemail = \"domi.braem@hotmail.com\", comment = c(ORCID = \"0000-0001-9094-8361\")),\nperson(\"Bernhard\", \"Steiert\", role = c(\"ctb\")),\nperson(\"Gilbert\", \"Koch\", role = c(\"ctb\")),\nperson(\"Matthew\",\"Fidler\", role = c(\"ctb\"), comment=c(ORCID=\"0000-0001-8538-6691\")))", "Description": "An easy-to-use tool for implementing Neural Ordinary\nDifferential Equations (NODEs) in pharmacometric software such\nas 'Monolix', 'NONMEM', and 'nlmixr2', see Bräm et al. (2024)\n and Bräm et al. (2025)\n. The main functionality is to\nautomatically generate structural model code describing\ncomputations within a neural network. Additionally, parameters\nand software settings can be initialized automatically. For\nusing these additional functionalities with 'Monolix',\n'pmxNODE' interfaces with 'MonolixSuite' via the\n'lixoftConnectors' package. The 'lixoftConnectors' package is\ndistributed with 'MonolixSuite'\n()\nand is not available from public repositories.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Config/testthat/edition": "3", "BugReports": "https://github.com/braemd/pmxNODE/issues", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://braemd.r-universe.dev", "Date/Publication": "2026-09-23 11:11:21 UTC", "RemoteUrl": "https://github.com/braemd/pmxnode", "RemoteRef": "HEAD", "RemoteSha": "c341d3d8f13d2f9459f9a7a12a0cc6d57fe4831a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-23 11:22:47 UTC", "User": "root" }, "Author": "Dominic Bräm [aut, cre] (ORCID:\n),\nBernhard Steiert [ctb],\nGilbert Koch [ctb],\nMatthew Fidler [ctb] (ORCID: )", "Maintainer": "Dominic Bräm ", "_user": "braemd", "_type": "src", "_file": "pmxNODE_0.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/95127c9a7ae1ed8adbdb399fd06a62ae11413f243938d09e9b6ddc0169e30d81", 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