Man pages for DGP4LCF
Dependent Gaussian Processes for Longitudinal Correlated Factors

DGP4LCF-packageDGP4LCF: Dependent Gaussian Processes for Longitudinal...
factor_loading_heatmapDisplaying significant factor loadings in the heatmap.
factor_score_trajectoryPlotting figures for factor score trajectory.
gibbs_after_mcem_algorithmGenerating posterior samples for parameters (other than DGP...
gibbs_after_mcem_combine_chainsCombining from all chains the posterior samples for...
gibbs_after_mcem_diff_initialsGenerating different initials for multiple chains.
gibbs_after_mcem_load_chainsLoading the saved posterior samples for parameters in the...
mcem_algorithmMonte Carlo Expectation Maximization (MCEM) algorithm to...
mcem_cov_plotVisualizing cross-correlations among factors.
mcem_parameter_setupParameters' setup and initial value assignment for the Monte...
numerics_summary_do_not_need_alignmentNumerical summary for important continuous variables that do...
numerics_summary_need_alignmentNumerical summary for factor loadings and factor scores,...
sim_fcs_initInitials values.
sim_fcs_results_irregular_6_8Results when people have irregularly observed time points...
sim_fcs_results_regular_8Results when people are observed at common 8 time points.
sim_fcs_truthTruth of simulated data.
subject_specific_objectsConstructing subject-specific objects required for Gibbs...
table_generatorGenerating a table listing all possible combinations of the...
DGP4LCF documentation built on April 4, 2025, 1:13 a.m.