simulate_hier_dawid_skene_model: Simulate data from the hierarchical Dawid-Skene model

In rater: Statistical Models of Repeated Categorical Rating Data

Simulate data from the hierarchical Dawid-Skene model

Description

Simulate data from the hierarchical Dawid-Skene model

Usage

simulate_hier_dawid_skene_model(pi, mu, sigma, sim_data, seed = NULL)

Arguments

pi	The pi parameter of the hierarchical Dawid-Skene model.
mu	The mu parameter of the hierarchical Dawid-Skene model.
sigma	The sigma parameter of the hierarchical Dawid-Skene model.
sim_data	Data to guide the simulation. The data must be in the long data format used in rater() except without the 'rating' column. The data specifies: the number of items in the data, and which raters rate each item and how many times they do so.
seed	An optional random seed to use.

Details

The number of raters implied by the entries in the rater column must match the number of raters implied by the passed theta parameter.

Value

The passed sim_data augmented with columns:

• "z" containing the latent class of each item,

• "rating" containing the simulated rating.

Examples

J <- 5
K <- 4

pi <- rep(1 / K, K)

mu <- matrix(0, nrow = K, ncol = K)
diag(mu) <- 5

sigma <- matrix(sqrt(2) / sqrt(pi), nrow = K, ncol = K)

sim_data <- data.frame(item = rep(1:2, each = 5), rater = rep(1:5, 2))

sim_result <- simulate_hier_dawid_skene_model(pi, mu, sigma, sim_data)

sim_result$sim
sim_result$theta

rater documentation built on Sept. 12, 2023, 1:13 a.m.