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Get Stacked RPPI Data

Usage

get_rppi(table = "sale", cached = FALSE, quiet = FALSE, max_retries = 3L)

Arguments

table

Character. "sale", "rent", or "all"

cached

Logical. If TRUE, loads from GitHub cache

quiet

Logical. If TRUE, suppresses messages

max_retries

Integer. Maximum retry attempts

Value

Tibble with columns: date, name_muni, index, chg, acum12m, source (plus transaction_type if table="all")

Details

Stacks multiple Brazilian residential property price indices into a single tibble with consistent columns for easy comparison. Handles different RPPI sources (IGMI-R, IVG-R, FipeZap, IVAR, IQA, Secovi-SP) and standardizes their formats.

Note: IQA provides raw prices, not index numbers. Use get_dataset("rppi", table) for individual indices.