mrp_party_estimation: Postratified estimation for the number of votes for a given...
In tereom/quickcountmx: Estimate Election Results Mexico

Description Usage Arguments Value See Also Examples

The function fits a model using the jags function and predicts number of votes for a given candidate in unobserved polling stations. Optionally the model can be fit with a stratified random sample of the data, and predict for the population.

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mrp_party_estimation(data, party, stratum, frac = 1, n_iter = 1000,
  n_burnin = 500, n_chains = 2, seed = NA, seed_jags = NA,
  model_string = NULL, set_strata_na = integer(0))

`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.
`party`	Unquoted variable indicating the column from the data.frame to be modeled.
`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.
`frac`	If sampling the data, numeric value indicating the fraction of the data to sample, the sample is selected using stratified sampling with probability proportional to size.
`n_iter, n_burnin, 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.
`seed_jags`	Seed for the call `jags`.
`model_string`	String indicating the model to be used, if NULL defaults to `"model_bern_t"`, also available `"model_t"`.

A list with the object fitted using R2jags::jags and the vector of simulated counts per candidate.

mrp_estimation

# predict number of votes for pan_na using 6% of the sample
mrp_gto_pan <- mrp_party_estimation(gto_2012, pan_na,
    stratum = distrito_loc_17, frac = 0.06, n_iter = 200, n_burnin = 100,
    n_chains = 2, seed = 19291)
mrp_gto_pan$fit