lk_obs_score_clust function

Compute observed log-likelihood and score

Compute observed log-likelihood and score

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

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

Returns

  • lk: log-likelihood function

  • sc: score vector

Author(s)

Francesco Bartolucci - University of Perugia (IT)

  • Maintainer: Francesco Bartolucci
  • License: GPL (>= 2)
  • Last published: 2017-06-06

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