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Implements Plug-in Bias-Corrected Estimators for Ranking Data

Source: R/imprr_direct.R
imprr_direct.Rd

This function implements the bias correction of the ranking distribution using a paired anchor question.

Usage

imprr_direct(
  data,
  J = NULL,
  main_q,
  anc_correct,
  population = "non-random",
  assumption = "contaminated",
  n_bootstrap = 200,
  seed = 123456,
  weight = NULL,
  verbose = FALSE
)

Arguments

data

The input dataset with ranking data.

J

The number of items in the ranking question. Defaults to NULL, in which case it will be inferred from the data, only if the column for `main_q` exists in the data.

main_q

Column name for the main ranking question to be analyzed. Using this argument, the function automatically looks for columns with marginal rankings. For example, if `main_q` is `app_identity`, the function looks for `app_identity_1`, `app_identity_2`, `app_identity_3`, and so on, with an underbar separator followed by numbers.

anc_correct

Indicator for passing the anchor question.

population

Choice of the target population out of non-random respondents (default) or all respondents.

assumption

Choice of the identifying assumption if `population` is set to all

n_bootstrap

Number of bootstraps. Defaults to 200.

seed

Seed for set.seed for reproducibility.

weight

A vector of weights. Defaults to NULL.

verbose

Indicator for verbose output. Defaults to FALSE.

Value

A list.