Get full parameter vector — get

Assemble the parameter vector starting from the threshold vector, the latent covariance matrix and the loading matrix

Usage

get_theta(
  THRESHOLDS,
  LOADINGS,
  LATENT_COV,
  CAT,
  CONSTRMAT,
  CONSTRVAR,
  CORRFLAG,
  STDLV
)

THRESHOLDS: Numerical vector of thresholds parameters. If all the \(p\) items have \(c\) possible categories, it contains \(p(c-1)\) elements.
LOADINGS: Numerical matrix of dimension \(p*q\), where \(q\) is the number of latent variables.
LATENT_COV: Latent covariance matrix of dimension \(q*q\).
CAT: Integer vector storing the possible number of categories for each item. Values must be ordered following items order in the dataset.
CONSTRMAT: \(p*q\)-dimensional matrix. Elements set to NA refers to free loading parameters. Elements set to numerical values denote fixed values constraints.
CONSTRVAR: \(q\)-dimensional vector. Elements set to NA refers to free latent variance parameters. Elements set to numerical values denote fixed values constraints.
CORRFLAG: Logical indicator. Set it to FALSE if the latent variables are independent. Set it TRUE otherwise.
STDLV: Logical indicator. Set it to TRUE to fix latent variables scale. Set it FALSE to fix loadings scale.