mrp_estimation_stan: Postratified estimation for the number of votes for several...
In tereom/quickcountmx: Estimate Election Results Mexico

The function fits a model using the rstan package and predicts proportional of votes for all candidates candidate in unobserved polling stations. Optionally the model can be fit with a stratified random sample

mrp_estimation_stan(data, stratum, n_iter = 500, n_warmup = 250,
  n_chains = 1, seed = NA, model_string = NULL,
  set_strata_na = integer(0), partidos = c("RAC", "JAMK", "AMLO", "JHRC",
  "OTROS"), frame_name = "marco_nal_2018")

`data`	A `data.frame` with variables: ln_total, region, distrito_loc_17, tamano_md, tamano_gd, casilla_ex and the column with number of votes for the party.
`stratum`	If sampling the data, unquoted variable indicating the column from the data.frame to be used as strata. The strata will also be used in the hierarchical structure of the model.
`n_iter`	Number of iterations, burnin size and chains. to be used in `jags`.
`n_warmup`	burnin size
`n_chains`	Number of iterations, burnin size and chains. to be used in `jags`.
`seed`	Integer value used to set the state of the random number generator.
`model_string`	String indicating the model to be used, if NULL defaults to `"model_bern_t"`, also available `"model_t"`.
`set_strata_na`	Option to exclude strata when fitting the model, used for model evaluation and calibration.