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fastVoteR is an R package with Efficient Rcpp Voting Methods for
Committee Selection.
Still under development.
Development version:
# install.packages("pak")
pak::pak("bblodfon/fastVoteR")library(fastVoteR)
# 5 candidates
candidates = paste0("V", seq_len(5))
candidates
#> [1] "V1" "V2" "V3" "V4" "V5"
# 4 voters
voters = list(
c("V3", "V1", "V4"),
c("V3", "V1"),
c("V3", "V2"),
c("V2", "V4")
)
voters
#> [[1]]
#> [1] "V3" "V1" "V4"
#>
#> [[2]]
#> [1] "V3" "V1"
#>
#> [[3]]
#> [1] "V3" "V2"
#>
#> [[4]]
#> [1] "V2" "V4"
set.seed(42)
# voter weights
weights = c(1.1, 2.5, 0.8, 0.9)
# Approval voting (all voters equal)
rank_candidates(voters, candidates)
#> candidate score norm_score borda_score
#> <char> <num> <num> <num>
#> 1: V3 3 0.75 1.00
#> 2: V1 2 0.50 0.75
#> 3: V2 2 0.50 0.50
#> 4: V4 2 0.50 0.25
#> 5: V5 0 0.00 0.00
# Approval voting (voters unequal)
rank_candidates(voters, candidates, weights)
#> candidate score norm_score borda_score
#> <char> <num> <num> <num>
#> 1: V3 4.4 0.8301887 1.00
#> 2: V1 3.6 0.6792453 0.75
#> 3: V4 2.0 0.3773585 0.50
#> 4: V2 1.7 0.3207547 0.25
#> 5: V5 0.0 0.0000000 0.00
# Satisfaction Approval voting (voters unequal)
rank_candidates(voters, candidates, weights, method = "sav")
#> candidate score norm_score borda_score
#> <char> <num> <num> <num>
#> 1: V3 2.0166667 0.8175676 1.00
#> 2: V1 1.6166667 0.6554054 0.75
#> 3: V2 0.8500000 0.3445946 0.50
#> 4: V4 0.8166667 0.3310811 0.25
#> 5: V5 0.0000000 0.0000000 0.00
# Sequential Proportional Approval voting (voters equal)
rank_candidates(voters, candidates, method = "seq_pav")
#> candidate borda_score
#> <char> <num>
#> 1: V3 1.00
#> 2: V2 0.75
#> 3: V1 0.50
#> 4: V4 0.25
#> 5: V5 0.00See vote and votesys R packages. For strictly ABC-voting rules, see abcvoting Python package.
Please note that the fastVoteR project is released with
a Contributor
Code of Conduct. By contributing to this project, you agree to abide
by its terms.
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.