R/disc_true.R

In ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation

#' Simulated discrimination parameters
#'
#' Difficulty parameters for an exam of 30 items assessing 3 latent abilities.
#'
#' @source Each entry is sampled uniformly from \code{[0.25,1.75]}.
#' If an entry in \code{q_matrix.rda} is 0, then so is the corresponding entry in \code{disc_true.rda}.
#' @format A data frame with 3 rows and 30 columns. Entry \code{[k,i]} represents the discrimination
#' parameter between item \code{i} and ability \code{k}.
#'
"disc_true"