lk_obs_score_clust: Compute observed log-likelihood and score
In MultiLCIRT: Multidimensional Latent Class Item Response Theory Models

Description Usage Arguments Value Author(s)

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

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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)

`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