View source: R/md_bayes_draw.R
md_bayes_draw | R Documentation |
Tunes and estimates MD Bayes algorithm (ei.MD.bayes)
md_bayes_draw(
dat,
race_vote_split,
form,
ntunes = 10,
totaldraws = 1e+05,
seed = 12345,
sample = 1e+05,
thin = 100,
burnin = 1e+05,
ret.mcmc = TRUE
)
dat |
data.frame() object of just raw candidate vote and raw population counts. Put vote results in first set of columns, put population counts next |
race_vote_split |
Numeric vector of length 2 indicating where vote column ends (e.g., 3), and population counts begin (e.g., 4): c(3,4) |
form |
Formula object, e.g.: cbind(V1, V2, novote) ~ cbind(VtdAVap_cor, VtdBVap_cor, VtdHVap_cor, VtdOVap_cor) |
ntunes |
Numeric; how much to tune tuneMD. Default = 10 |
totaldraws |
Numeric; How many total draws from MD. Default = 100000 |
seed |
Numeric. Default = 12345 |
sample |
Numeric. Default = 100000 |
thin |
Numeric. Default = 10 |
burnin |
Numeric. Default = 100000 |
ret.mcmc |
Logical. Default = TRUE |
Matrix object, of simulation reults
Loren Collingwood <loren.collingwood@ucr.edu>
eiPack, King et. al. (http://gking.harvard.edu/eiR)
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