https://www.apra.gov.au/> and import it into R as a tidy data frame.">

readapra: Download and Tidy Data from the Australian Prudential Regulation Authority (original) (raw)

Imports:

cli (≥ 3.0.0), dplyr (≥ 1.0.0), httr (≥ 1.0.0), janitor, lubridate (≥ 1.0.0), memoise, polite (≥ 0.1.0), purrr (≥ 1.0.0), ratelimitr, rlang (≥ 1.0.0), robotstxt, rvest (≥ 1.0.0), stringdist, stringr (≥ 1.0.0), tibble (≥ 2.0.0), tidyr (≥ 1.0.0), tidyselect (≥ 1.0.0), tidyxl (≥ 1.0.0), utils