Initial commit: BAF Lakehouse fraud detection pipeline

End-to-end LightGBM fraud detection pipeline built as an R package,
orchestrated by targets with data stored in MinIO via Apache Arrow.
Includes 6-layer Lakehouse architecture, class imbalance tournament,
formally tuned hyperparameters (PR-AUC 0.198), and Quarto RevealJS slides.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

man/format_class_imbalance_tourney_gt.Rd

@@ -0,0 +1,18 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/functions.R
+\name{format_class_imbalance_tourney_gt}
+\alias{format_class_imbalance_tourney_gt}
+\title{Format Class Imbalance Tournament Table}
+\usage{
+format_class_imbalance_tourney_gt(results_df)
+}
+\arguments{
+\item{results_df}{The tibble output from \code{run_imbalance_tournament}.}
+}
+\value{
+A formatted gt table object.
+}
+\description{
+Aggregates results from the model tournament and performs paired t-tests
+against the 'Standard' model to determine statistical significance.
+}