Draw random numbers from posterior distribution

Draw random numbers from posterior distribution

draw_from_posterior(
  survey,
  nsim = 10000,
  seed = as.numeric(now()),
  prior = NULL,
  correction = NULL
)

Arguments

survey	survey object as returned by as_survey or getSurveys
nsim	number of simulations
seed	sets seed
prior	optional prior information. Defaults to 1/2 (Jeffrey's prior).
correction	A positive number. If not NULL, each sample from the Dirichlet distribution will be additionally "corrected" by a random number from U(-1*correction, 1*correction). This can be used to introduce extra variation which might be useful due to rounding errors from reported survey results (or add an additional source of variation in general).

Value

data.frame containing random draws from Dirichlet distribution which can be interpreted as election results.

See also

as_survey