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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.