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chestR 0.1.0

• Initial packaged release of kernel-weighted Cox regression (chestr) for exploring treatment effect heterogeneity on a biomarker grid.
• Implements Kish effective-sample-size (ESS) events-per-df safeguard (min_events_per_df, default 10). Grid points below the threshold are skipped with NA coefficients and flagged via reliable.
• Exported API: chestr(), plot.chestr() / plot(), chestr_test().
• Weighting methods: "distance" (default), "square_distance", "legacy".
• Global permutation test of constant treatment effect over biomarker space (T_L2, T_MAX) via chestr_test().
• Vignette chestr-workflow demonstrates the global Cox → chestr → plot workflow (and optional permutation test) on simulated survival data.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.