Analytic bulk for "Three-Layer Calibration for Bayesian Robust Variance Estimation in Meta-Analysis With Dependent Effect Sizes": four merged simulation batches (Track B)

This dataset is the "analytic bulk" for the replication package of Lee & Tipton (2026), "Three-Layer Calibration for Bayesian Robust Variance Estimation in Meta-Analysis With Dependent Effect Sizes." It contains the full output of the paper's 324-condition Monte Carlo simulation as four merged replication batches — batch1_merged.rds, batch2_merged.rds, batch3_merged.rds, batch4_merged.rds — which together form the complete 7,905,500-row analytic dataset (nine estimators M1-M9 scored over 282 core conditions at 1,000 replications and 42 sensitivity conditions at 500). The files are read positionally in this batch1..batch4 order by the replication pipeline. This bulk is needed ONLY to regenerate the per-cell performance metrics from scratch ("Track B"). It is NOT required to reproduce the paper's tables and figures: the GitHub replication package ships a committed, ~1.6 MB precomputed metrics layer ("Track C") that reproduces every exhibit with CRAN packages only and no download. The bulk is archived here because the four files total ~276 MB and one batch exceeds GitHub's 100 MB per-file limit. The replication package fetches and verifies these files automatically: set the minted DOI in data/fetch_bulk.R and run source("data/fetch_bulk.R"); each file is downloaded into data/bulk/ and checked against the SHA-256 digests below (a mismatch is a hard error). The filenames MUST stay exactly batch1..4_merged.rds — the download URL is built from them. Replication package: https://github.com/joonho112/bayesRVE-replication Rendered guide: https://joonho112.github.io/bayesRVE-replication/Companion R package: https://github.com/joonho112/bayesRVE (v0.7.0) SHA-256 (byte-preservation baseline; matches manifest/pipeline_manifest.csv in the repo): batch1_merged.rds 8f3aa5b5864694ef933c1d869fbafb4f445d8f89eaf9a5189351d8073998548c (~77 MB) batch2_merged.rds b81044b6830382fc8504f93273be7761c0776034d044c1997f964a255cc584db (~75 MB) batch3_merged.rds 296cd669e7fc2252d79ad7d3954cb521c7886f6b9b1836b1d916a3adc76076c4 (~113 MB) batch4_merged.rds 8088dbf2d08e523d9861667521f6e715c2aaebe5865b27a4d144f17bc1bcf98f (~11 MB)