lk_obs_score_between: Compute observed log-likelihood and score

In MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

Description

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

Usage

lk_obs_score_between(part_comp, lde, lpart, lgat, S, R, yv, k, rm, lv,
                     J, fv, disc, glob, refitem, miss,
                     ltype, XXdis, Xlabel, ZZ0,fort, Zpar, zpar, Zga, zga, items)

Arguments

part_comp	complete vector of parameters
lde	length of de
lpart	length of part
lgat	length of gat
S	matrix of responses
R	matrix of observed responses indicator
yv	vector of frequencies
k	number of latent classes for the latent variable
rm	number of dimensions for the latent variable
lv	number of response categories for each item
J	number of items
fv	indicator of constrained parameters
disc	presence of discrimination parameters
glob	indicator of global parametrization for the covariates
refitem	vector of reference items
miss	indicator of presence of missing responses
ltype	type of logit
XXdis	array of covariates for the latent variable
Xlabel	indicator for covariate configuration
ZZ0	design matrix
fort	to use Fortran
Zpar	array for the specification of constraints on the support points of the latent variable and for the item difficulty parameters
zpar	vector for the specification of constraints on the support points of the latent variable and for the item difficulty parameters
Zga	matrix for the specification of constraints on the item discriminating indices
zga	vector for the specification of constraints on the item discriminating indices
items	items affected by the latent variable

Value

lk	log-likelihood function
sc	score vector

Author(s)

Francesco Bartolucci - University of Perugia (IT)

MLCIRTwithin documentation built on Sept. 30, 2019, 5:04 p.m.