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v1.15.0MIT

Skills for quantitative systems pharmacology using Jinkō platform. Support the full modeling workflow: gathering evidence and observed data, building and calibrating models, estimating uncertainty, running sensitivity analyses, creating virtual populations, simulating clinical trials, visualizing results, and producing analysis.

jinko-task-from-nonmem

Convert a NONMEM run into a Jinkō trial set-up via the jinko-sdk. Use this skill whenever the user wants to import, translate, port or migrate a NONMEM model, control stream, .mod/.ctl/.lst file, .ext estimates, .phi individual estimates or a NONMEM data set into Jinkō, or asks to reproduce a published population-PK model that exists as NONMEM code. Emits the computational model, virtual population, protocol design and output set, checks the result numerically against a declared reference, and can publish the evidence as a Jinkō document. Use jinko-model to author a model from scratch, jinko-protocol to edit an existing protocol, jinko-vpop to edit a population, and jinko-calibration-cmaes to fit parameters.

License
MIT
Compatibility
Needs `pip install "jinko-sdk[nonmem2jinko]"`; the converter ships with the SDK but its numerical extra does not install by default. Check set-up with the `jinko-sdk-setup` skill. Creating project items requires write access to the Jinkō project. The independent-parse check needs R with `nonmem2rx` and `rxode2`; without them the conversion still runs, but that check is unavailable rather than passed.
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