Getting started with riskweightedassets
In riskweightedassets: Reproducible Risk-Weighted Asset Calculations

knitr::opts_chunk$set(collapse = TRUE, comment = "#>")

The package provides an auditable R workflow for canonical risk-weighted asset data. Start by inspecting the two bundled profiles.

library(riskweightedassets)
list_reference_profiles()

Generate native R tables without writing files.

tables <- generate_synthetic_tables(bank_profile = "KSA_BANK")
length(tables)
names(tables)[1:12]

A full calculation is intentionally not executed while building this vignette because it calculates applied and fully-loaded views. Run it interactively:

result <- calculate_tables(tables)
print(result)
unlist(result$metrics[c("RWEA_KSA", "TREA", "CET1_RATIO")])

For a spreadsheet workflow, write only below a controlled caller-owned path:

dataset <- generate_synthetic_dataset(
  file.path(tempdir(), "rwa-runs"), bank_profile = "KSA_BANK"
)
validate_dataset(dataset)
result <- calculate_dataset(dataset)

The data is synthetic, and the package is not regulatory or legal advice.