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list_by_elections() plus
get_by_election_fp(), get_by_election_tcp(),
get_by_election_tpp(), and
get_by_election_candidates(). Covers all 24 House
by-elections with AEC CSV downloads, from Gippsland 2008 to Farrer
2026.list_referendums(),
get_referendum_by_booth(), and
get_referendum_turnout() for the 2023 Voice referendum,
including booth-level Yes/No counts.get_dop() returns the full count-by-count distribution
of preferences by division, the dataset needed to analyse seats won from
behind on preference flows.get_tcp_by_booth() returns two-candidate preferred
votes by polling place.get_senators_elected() returns senators elected in
order of election.get_swing() now reports the party that actually won
each seat (winner_from, winner_to), joined
from the AEC members elected file. Previously winners were inferred from
TPP shares, which misidentified seats won by independents and minor
parties. The TPP-based columns are retained as
tpp_leader_from and tpp_leader_to.refresh argument to force a
re-download, useful on election night when cached counts go stale.get_polling_places().get_fp_by_booth() for
consistency with other data functions.tempdir() instead of the user’s
home directory, fixing CRAN policy compliance for \donttest
examples.options(readaec.cache_dir = ...).rappdirs dependency with
tools::R_user_dir() (base R).\value documentation to
clear_cache()\dontrun{} to \donttest{} in all
examples that require a network connectionget_fp(), get_tpp(), get_tcp(),
get_members_elected().get_fp_by_booth(),
get_tpp_by_booth().get_senate().get_candidates(),
get_enrolment(), get_turnout(),
get_polling_places().get_swing().rappdirs with
clear_cache().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.