#' Balanced Incomplete Block Designs for use in Best-Worst Scaling
#'
#' @description
#' A data.frame of 32 different balanced incomplete block designs (BIBD) that
#' can be used to set up best-worst scaling studies. The columns are: design,
#' which is an identification number that can is fed to get_bibd; t, which
#' is the number of items (or "treatments") one will be using in the study;
#' k, which is how many of the items the respondent sees per trial; r, which
#' is how many times the participant sees each item across all of the trials;
#' b, which is how many trials (or "blocks") there are in the design; and
#' lambda, which indicates how many times each pair of options co-occur
#' throughout the design. This is taken from Table 11.3 in Cochran & Cox
#' (1957), including only the designs where t and b are both less than or
#' equal to 20 (as any larger would put cognitive strain on a respondent).
#'
#' @references
#' Cochran, W. G., & Cox, G. M. (1957). Balanced and partially balanced
#' incomplete block designs. In Experimental designs (2nd ed., pp. 439–482).
#' New York: John Wiley & Sons, Inc.
"bibds"
#' Example Data for Individual-Level Best-Worst Scaling
#'
#' @description
#' A tibble that shows the format a tibble should take when it is
#' submitted to a individual `scoring` function.
"indiv"
#' Example Data for Non-BIBD Aggregate-Level Best-Worst Scaling
#'
#' @description
#' A tibble that shows the format a tibble should take when it is
#' submitted to an aggregate scoring function that is NOT ae_mnl(), which
#' assumes a balanced incomplete block design (BIBD).
"agg"
#' Example Data Used in Vignettes
#'
#' @description
#' A tibble that shows the format a tibble should take when it is
#' submitted to a individual `scoring` function.
"vdata"
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