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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-output-set

Create, inspect, validate, and incrementally edit Jinkō output sets via the jinko-sdk: simple output sets (measure designs) that list scalar measures derived from model outputs, and advanced output sets (scoring designs) that define constraints, scalars, and weighted objectives for scoring virtual populations. Validate scoring expressions and read diagnostics before attaching an output set elsewhere. Do not use this skill for attaching a simple or advanced output set to a trial and running it; use jinko-trial for that. Do not use this skill for data-table creation or fitness-function metadata; use jinko-data-table for that. Do not use this skill for calibration setup or CMA-ES options.

License
MIT
Compatibility
Check set-up with the `jinko-sdk-setup` skill. Creating output sets requires write access to the Jinkō project; simple output sets also require an existing model. Advanced output sets can be created standalone. Objective preview rendering benefits from IPython and matplotlib but degrades to plain text without them.
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