| xmu_topo_sort | R Documentation |
Performs a topological sort on a set of nodes based on directional paths.
In structural equation modeling, processing sources (exogenous variables) first and
sinks (endogenous variables) last often ensures the A matrix is strictly lower
triangular (Recursive (acyclic) models are those whose path matrix can be arranged lower triangular).
This both speeds optimization (a triangular A inverts as a finite series (Bollen, 1989; Kahn, 1962; Neale et al., 2016).
OpenMx detects when A is strictly lower-triangular and uses a finite series to invert (I - A)
rather than (slower) general inversion.
However, it also improves discovery: small but real path weights (such as we encounter in umxGSEM()) get clean gradient signal
instead of stalling at local minima in the dense coupled inverse. umx implements this rearrangement in umxRAM() and umxRAM_DE().
xmu_topo_sort(from, to, nodes)
from |
Character vector of source nodes. |
to |
Character vector of destination nodes. |
nodes |
Character vector of all nodes to sort. |
A character vector of the nodes sorted topologically. Nodes not involved in paths are appended.
Bollen, K. A. (1989). Structural Equations with Latent Variables. Wiley.
Kahn, A. B. (1962). Topological sorting of large networks. Communications of the ACM, 5, 558-562. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1145/368996.369025")}
Neale, M. C., Hunter, M. D., Pritikin, J. N., Zahery, M., Brick, T. R., Kirkpatrick, R. M., Estabrook, R., Bates, T. C., Maes, H. H., & Boker, S. M. (2016). OpenMx 2.0: Extended structural equation and statistical modeling. Psychometrika. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11336-014-9435-8")}.
Other xmu internal not for end user:
mx_make(),
umxModel(),
umxRenameMatrix(),
umx_APA_pval(),
umx_fun_mean_sd(),
umx_get_bracket_addresses(),
umx_make(),
umx_standardize(),
umx_string_to_algebra(),
xmuHasSquareBrackets(),
xmuLabel_MATRIX_Model(),
xmuLabel_Matrix(),
xmuLabel_RAM_Model(),
xmuMI(),
xmuMakeOneHeadedPathsFromPathList(),
xmuMakeTwoHeadedPathsFromPathList(),
xmuMaxLevels(),
xmuMinLevels(),
xmuPropagateLabels(),
xmuRAM2Ordinal(),
xmuTwinSuper_Continuous(),
xmuTwinSuper_NoBinary(),
xmuTwinUpgradeMeansToCovariateModel(),
xmu_CI_merge(),
xmu_CI_stash(),
xmu_DF_to_mxData_TypeCov(),
xmu_PadAndPruneForDefVars(),
xmu_WLS_align_jacobian(),
xmu_WLS_align_weight(),
xmu_WLS_polycor_names(),
xmu_ace_de_apply_censor_thresholds(),
xmu_ace_de_parse_censor_meta(),
xmu_ace_de_parse_censor_rule(),
xmu_ace_de_release_binary_v1(),
xmu_bracket_address2rclabel(),
xmu_catml_df3_diagnostic(),
xmu_catml_discrepancy_at_WLS(),
xmu_catml_eval_model(),
xmu_catml_implied_correlation(),
xmu_catml_wls_v(),
xmu_cell_is_on(),
xmu_check_levels_identical(),
xmu_check_needs_means(),
xmu_check_variance(),
xmu_clean_label(),
xmu_compare_constraint_note(),
xmu_compare_robust_ML(),
xmu_data_missing(),
xmu_data_swap_a_block(),
xmu_describe_data_WLS(),
xmu_dot_make_paths(),
xmu_dot_make_residuals(),
xmu_dot_maker(),
xmu_dot_move_ranks(),
xmu_dot_rank_str(),
xmu_extract_column(),
xmu_get_CI(),
xmu_has_summary_mxData(),
xmu_invert_matrix(),
xmu_is_ordinal_WLS(),
xmu_lavaan_process_group(),
xmu_make_TwinSuperModel(),
xmu_make_bin_cont_pair_data(),
xmu_make_mxData(),
xmu_match.arg(),
xmu_mxData_summary(),
xmu_mxRefModels(),
xmu_name_from_lavaan_str(),
xmu_path2twin(),
xmu_path_regex(),
xmu_print_algebras(),
xmu_ram_de_apply_censor_thresholds(),
xmu_ram_de_parse_censor_meta(),
xmu_rclabel_2_bracket_address(),
xmu_relevel_factors(),
xmu_require_summary_mxData(),
xmu_robust_ML_fit(),
xmu_safe_run_summary(),
xmu_savalei_fit_cfi(),
xmu_savalei_fit_rmsea(),
xmu_savalei_fit_tli(),
xmu_savalei_null_scaling_factor(),
xmu_savalei_polycor_blocks(),
xmu_savalei_scaling_factor(),
xmu_set_sep_from_suffix(),
xmu_show_fit_or_comparison(),
xmu_simplex_corner(),
xmu_standardize_ACE(),
xmu_standardize_ACEcov(),
xmu_standardize_ACEv(),
xmu_standardize_CP(),
xmu_standardize_IP(),
xmu_standardize_LISREL(),
xmu_standardize_RAM(),
xmu_standardize_SexLim(),
xmu_standardize_Simplex(),
xmu_start_value_list(),
xmu_starts(),
xmu_summary_RAM_group_parameters(),
xmu_threshold_id_RAM(),
xmu_threshold_id_twin_check(),
xmu_twin_add_WeightMatrices(),
xmu_twin_check(),
xmu_twin_get_var_names(),
xmu_twin_make_def_means_mats_and_alg(),
xmu_twin_upgrade_selDvs2SelVars(),
xmu_update_covar(),
xmu_wls_display_chi(),
xmu_wls_extract_WV()
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