Calculate log-likelihood
loglik_thirt(gamma, items, persons, resp)
a data.frame of length [total binary outcomes]
with two variables:
variable pair
of the format i-j
for item pair ij
,
variable gamma
for threshold parameters.
a data.frame of length [total items]
with five variables:
variable item
of the format i
for item number i
,
variable block
of the format b
for block number b
,
variable dim
of the format d
for dimension number d
,
variable lambda
for loadings,
variable psisq
for uniqueness,
variable dim
for dimensions.
a data.frame of length [number of people]
with variables:
variable person
of the format p
for person number p
,
variables named theta_d
for dimension number d
.
a data.frame of length [n_person x n_block]
with at least three first variables:
variable person
of the format p
for person number p
,
variable block
of the format b
for block number b
,
variable resp
of the format r
for response number r
which corresponds to mupp::find_permutation_index().
a matrix of dimensions [n_person X n_block]
of log-likelihoods
of chosen responses for each person for each block.
if (FALSE) {
set.seed(202106)
params <- simulate_thirt_params()
gamma <- params$gamma
items <- params$items
persons <- params$persons
resp <- do.call(simulate_thirt_resp, params)$resp
loglik_thirt(gamma = gamma, items = items, persons = persons, resp = resp)
}