numerics_summary_need_alignment function

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

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'.

Returns

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

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.

Examples

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