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/connect_baf.Rd

@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/functions.R
+\name{connect_baf}
+\alias{connect_baf}
+\title{Connect to BAF dataset on MinIO (Arrow or DuckDB)}
+\usage{
+connect_baf(prefix, bucket_name = Sys.getenv("BAF_BUCKET"), use_duckdb = TRUE)
+}
+\arguments{
+\item{prefix}{Character. Dataset prefix inside the bucket
+(e.g., "02_intermediate/variant=Base").}
+
+\item{bucket_name}{Character. Bucket name. Defaults to env var BAF_BUCKET.}
+
+\item{use_duckdb}{Logical. If TRUE, return a DuckDB-backed lazy tbl.}
+}
+\value{
+An Arrow Dataset (default) or a DuckDB-backed lazy table.
+}
+\description{
+Connect to BAF dataset on MinIO (Arrow or DuckDB)
+}