
Run Complete Electoral Simulation
run_vota.RdThis function executes the complete VOTA system pipeline for Spanish electoral simulation, starting from national-level data.
Usage
run_vota(
survey_data = NULL,
input_path,
output_file,
uncertainty_method = c("mcmc", "bootstrap"),
strategy = "top_down",
nsims = 100,
factor_correccion_abstencion = 3,
factor_correccion_jovenes = 2.5,
factor_correccion_otbl = 3,
tiempo_entre_elecciones = 0.1,
district_col,
tau = 300,
umbral = 0.03,
tipo_umbral = "provincial",
interval_level = 0.9,
censo = NULL,
verbose = TRUE,
seed = NULL,
...
)Arguments
- survey_data
Data frame with individual survey data (required if uncertainty_method is "bootstrap")
- input_path
Path to Excel input file with multiple sheets
- output_file
Path to the output RDS file where the electo_fit object will be saved (e.g., "output/results.rds")
- uncertainty_method
Type of input data: "bootstrap" or "mcmc"
- strategy
Projection strategy: "top_down" or "bottom_up"
- nsims
Number of Monte Carlo simulations for transfer matrices (or bootstrap replications if uncertainty_method is "bootstrap")
- factor_correccion_abstencion
Abstention correction factor (default 3)
- factor_correccion_jovenes
New voters correction factor (default 2.5)
- factor_correccion_otbl
Other+blank votes intention correction factor (default 3)
- tiempo_entre_elecciones
Years between elections for demographic adjustments
- district_col
Name of column in survey_data indicating province or electoral district
- tau
Parameter to control variability level of provincial party projection patterns (only needed if strategy is "top_down")
- umbral
Minimum vote threshold for seat assignment (default 0.03)
- tipo_umbral
Threshold type: "provincial", "autonomico" or "mixto" (default "provincial")
- interval_level
Confidence level for uncertainty intervals (default 0.9)
- censo
Optional data frame with census data per province (columns: codigo_provincia, censo_real). If NULL (default), census data is downloaded from INE using
get_censo().- verbose
Show progress messages (default TRUE)
- seed
Seed for reproducibility (default NULL)
- ...
Additional arguments for bootstrap internal function. The current accepted parameters are calib_vars and weights. Only used when uncertainty_method is "bootstrap"
Value
Object of class electo_fit with simulation results including:
- estimacion
National vote estimates by party
- estimacion_sims
National vote estimates simulations by party
- estimacion_provincias_sims
Provincial results with assigned seats
- mt_sims_pct
Transfer matrix simulations (percentages)
- mt_sims_electores
Transfer matrix simulations (number of voters)
- dhondt_output
Detailed D'Hondt allocation results
- participacion_media
Estimated turnout percentage
- metadata
Execution metadata
See also
Other main-functions:
vota()