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

Description Usage Arguments Value Examples

View source: R/mrp_party_estimation_stan.R

The function fits a model using the rstan package 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_stan(data, party, stratum, frac = 1, n_iter = 300,
  warmup = 150, n_chains = 2, seed = 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, warmup, n_chains`	Number of iterations, number of warmup iterations and number of chains. to be used in `sampling`.
`seed`	Integer value used to set the state of the random number generator.
`model_string`	String indicating the model to be used, defaults to `"neg_binomial"`.
`set_strata_na`	Option to exclude strata when fitting the model, used for model evaluation and calibration.

A list containing fit object and vector the simulated counts for the candidate.

mrp_party_pri <- mrp_party_estimation_stan(nal_2012, pri_pvem, frac = 0.02,
    stratum = estrato, n_iter = 300, warmup = 150,
    n_chains = 2, seed = 19291)
quantile(mrp_party$y)