lk_obs_score_clust: Compute observed log-likelihood and score

In MultiLCIRT: Multidimensional Latent Class Item Response Theory Models

Compute observed log-likelihood and score

Description

Function used within est_multi_poly to compute observed log-likelihood and score.

Usage

lk_obs_score_clust(par_comp, lde1, lde2, lpar, lga, S, R, kU, kV, rm,
                   l, J, fv, link, disc, indga, refitem, miss, ltype,
                   WWdis, Wlabel, XXdis, Xlabel, ZZ0, clust, fort)

Arguments

par_comp	complete vector of parameters
lde1	length of de
lde2	length of de
lpar	length of par
lga	length of ga
S	matrix of responses
R	matrix of observed responses indicator
kU	number of latent classes at cluster level
kV	number of latent classes at individual level
rm	number of dimensions
l	number of respnse categories
J	number of items
fv	indicator of constrained parameters
link	link function
disc	presence of discrimination parameter
indga	indicator of gamma parameters
refitem	vector of reference items
miss	indicator of presence of missing responses
ltype	type of logit
WWdis	array of covariates at cluster level
Wlabel	indicator for covariate configuration at cluster level
XXdis	array of covariates at individual level
Xlabel	indicator for covariate configuration at individual level
ZZ0	design matrix
clust	vector of cluster indicator for each unit
fort	to use fortran

Value

lk	log-likelihood function
sc	score vector

Author(s)

Francesco Bartolucci - University of Perugia (IT)

MultiLCIRT documentation built on June 28, 2025, 9:07 a.m.