Fit provenance-block rCLR centering moments — fit_block_fe

Computes one robust log-geometric reference vector per provenance block from a training pool. Prediction subtracts the block-specific reference from each sample's log abundance and sums the panel residuals.

Usage

fit_block_fe_rclr(
  expr,
  meta,
  panel,
  block_col = "provenance_block",
  pseudocount = NULL
)

Arguments

expr: Numeric matrix, samples x features, training pool.
meta: Data frame aligned to `expr`.
panel: Character vector of panel features.
block_col: Column in `meta` identifying provenance blocks.
pseudocount: Optional additive pseudocount before log transform.

Value

A fit object consumed by `predict_block_fe_rclr()`.