Arviz posterior diagnostics starter
A framework for discovering, compiling, and validating reusable skills for scientific agents.
npx -y skills add ma-compbio-lab/SkillFoundry --skill arviz-posterior-diagnostics-starterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
0.7 KB, as published. Nobody here has run it
ArviZ Posterior Diagnostics Starter
Use this skill to generate a deterministic toy posterior and summarize uncertainty diagnostics with ArviZ.
Run
./slurm/envs/statistics/bin/python \
skills/statistical-and-machine-learning-foundations-for-science/arviz-posterior-diagnostics-starter/scripts/run_arviz_posterior_diagnostics.py \
--out scratch/arviz/posterior_diagnostics.json
Output
The JSON summary includes:
- per-parameter means and 90% HDIs
ess_bulk,ess_tail, andr_hatmax_rhatandmin_ess_bulk
Notes
- This is a starter for the taxonomy leaf
uncertainty-estimation. - The posterior is simulated deterministically for reproducible testing; it is not fitted from real data.