[WIP] Add 2026A State Legislative model and data#5
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- Remove -it flags from docker run command (not compatible with non-interactive execution) - Set output.folder to /vol/ in planscore_models_state_leg.R (was placeholder XXXXXX) - Add na.rm=TRUE to mean(dpres) calculation to handle NA values - Add BH package to Dockerfile for Stan/brms compilation Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
…te legislative model files - Add round(, 4) to all C and E matrix write.csv() calls in both R scripts - Change "stateleg" to "statelege" in state_leg.R output filenames - Change model code from "2025A" to "2026A" for state legislative models - Set output.folder to /vol/ in congress.R (was placeholder XXXXXX) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
"Run more shorter chains instead of fewer long ones. For example, 8 chains × 1000 iterations will have less variance in finish times than 4 chains × 2000 iterations, and you get the same total draws. The load-balancing improves because the law of large numbers works in your favor."
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