numerics_summary_need_alignment: Numerical summary for factor loadings and factor scores,...

In DGP4LCF: Dependent Gaussian Processes for Longitudinal Correlated Factors

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")

DGP4LCF documentation built on April 4, 2025, 1:13 a.m.