process_batch_election_day: Automatically process batch of new data, and write estimates...

In cotecora-team-2/quickcountmx: Quick-count estimation package for the 2021 Mexican election

Automatically process batch of new data, and write estimates in correct form for INE systems

Description

Automatically process batch of new data, and write estimates in correct form for INE systems

Automatically process batch of new data, and write estimates in correct form for INE systems

Automatically process batch of new data, and write estimates in correct form for INE systems

Usage

process_batch(
  path_name,
  file_name,
  log_file,
  path_out,
  path_mailbox,
  team = "default",
  even = "0",
  n_iter = 300,
  n_chains = 4,
  n_warmup = 200,
  adapt_delta = 0.8,
  max_treedepth = 10,
  nominal_max = 1000,
  seed = 221285,
  use_inv_metric = TRUE
)

ratio_process_batch(path_name, file_name, path_out, B, team = "default")

ratio_diputados_process_batch(
  path_name,
  file_name,
  path_out,
  path_mailbox,
  B,
  team = "default"
)

Arguments

path_name	Path to a file that will be used for estimation. On election day it will be a file with a subset of the sample.
file_name	Name of the file with the data.
log_file	Path to logfile of process
path_out	Path to directory where partial results will be saved.
path_mailbox	Additional path to directory where partial results will be saved.
team	Name of team running the model, to be used in INE reports.
even	skipping of batches
n_iter	number of stan sampling iterations
n_chains	number of stan chains
n_warmup	numer of stan warmup iterations
adapt_delta	The adaptation target acceptance statistic (default 0.80.
max_treedepth	The maximum allowed tree depth for the NUTS engine (default 10)
nominal_max	maximum number of votes in special stations
seed	random seed
use_inv_metric	use initial metric from previous run
B	Number of bootstrap replicates used to compute standard errors, defaults to 50.

cotecora-team-2/quickcountmx documentation built on July 17, 2025, 5:14 a.m.