# SCRATCH CODE #
rm(list = ls())
# specifying parameters
params <- simulate_mupp_params(n_persons = 10,
n_items = 300,
n_dims = 9,
max_item_dims = 2,
unidim_items = TRUE)
resp <- do.call(simulate_mupp_resp,
params)
thetas <- tidyr::spread(params$persons,
key = "dim",
value = "theta")[ , -1]
# response and items
resp <- resp$resp
items <- params$items
est_thetas <- estimate_mupp_thetas(resp, items, "bfgs")
diag(cor(thetas, est_thetas$thetas))
# TESTING AGAINST MCMC
act_thetas <- tidyr::spread(all_params$persons,
key = "dim",
value = "theta")[ , -1]
mcmc_thetas <- out$mean$thetas
bfgs_thetas <- estimate_mupp_thetas(resp = all_resp$resp,
items = all_params$items,
method = "bfgs")
bfgs_thetas_2 <- estimate_mupp_thetas(resp = all_resp$resp,
items = within(all_params$items, {
alpha = out$mean$alphas
delta = out$mean$deltas
tau = out$mean$taus
}))
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