numerics_summary_need_alignment {DGP4LCF}

Numerical summary for factor loadings and factor scores, which need alignment.

Description

Numerical summary for factor loadings and factor scores, which need alignment.

Usage

numerics_summary_need_alignment(
  burnin = 0,
  thin_step = 1,
  gibbs_after_mcem_combine_chains_result
)

Arguments

burnin

A numeric scalar. The saved samples are already after burnin; therefore the default value for this parameter here is 0. Can discard further samples if needed.

thin_step

A numeric scalar. The saved samples are already after thinning; therefore the default value for this parameter here is 1. Can be further thinned if needed.

gibbs_after_mcem_combine_chains_result

A list of objects returned from the function 'gibbs_after_mcem_combine_chains'.

Details

This function corresponds to Algorithm 2: Steps 2, 3 and 4 in the main manuscript; therefore reader can consult the paper for more explanations.

Value

Reordered posterior samples, convergence assessment, and summarized posterior results for factor loadings and factor scores.

Examples

# See examples in vignette
vignette("bsfadgp_regular_data_example", package = "DGP4LCF")
vignette("bsfadgp_irregular_data_example", package = "DGP4LCF")