| Lab association ML global and nested spectral tests | association_ml_global_test association_ml_nested_test |
| Exact sampling sandwich for ordinal association ML | association_ml_ij |
| Lab association-ML modification indices and linear releases | association_ml_modification_indices association_ml_score_tests |
| Parameter bounds: bounds_loading | bounds_loading |
| Parameter bounds: bounds_pos_var | bounds_pos_var |
| Parameter bounds: bounds_standard | bounds_standard |
| Parameter bounds: bounds_variance | bounds_variance |
| Parameter bounds: bounds_wide | bounds_wide |
| Refit a model repeatedly, each time with one case removed | case_rerun |
| Composite score weights | composite_weights |
| Evaluate defined model parameters | compute_defined |
| Fit a continuous-data measurement-invariance ladder. | continuous_invariance |
| Lavaan-compatible fit measures | convention_fit_measures |
| Named lavaan inference on retained estimates | convention_inference convention_nested |
| Convergence simulation design: convergence_sim | convergence_sim |
| Convergence simulation design: convergence_sim_catalog | convergence_sim_catalog |
| Convergence simulation design: convergence_sim_dejonckere_crossloading | convergence_sim_dejonckere_crossloading |
| Convergence simulation design: convergence_sim_dejonckere_msst | convergence_sim_dejonckere_msst |
| Convergence simulation design: convergence_sim_dejonckere_shrinkage | convergence_sim_dejonckere_shrinkage |
| Convergence simulation design: convergence_sim_dejonckere_simple | convergence_sim_dejonckere_simple |
| Convergence simulation design: convergence_sim_ludtke_cfa | convergence_sim_ludtke_cfa |
| Prepare data: df_to_data | df_to_data |
| Prepare data: df_to_fcsem_data | df_to_fcsem_data |
| Prepare data: df_to_fiml_data | df_to_fiml_data |
| Construct a model from EQS equations | eqs_model |
| Summarize case-rerun parameter changes | est_change |
| Approximate standardized case influence (DFTHETAS) and gCD (one-step) | est_change_approx |
| Case influence on raw parameter estimates (DFBETA / DFZTHETA) | est_change_raw |
| Approximate case influence on raw parameter estimates (one-step, no refit) | est_change_raw_approx |
| Factor-score precision diagnostics | factor_score_precision |
| Compute factor scores | factor_scores |
| Factor-component SEM: fcsem_fit_measures | fcsem_fit_measures |
| Factor-component SEM: fcsem_model_spec | fcsem_model_spec |
| Factor-component SEM: fcsem_standard_errors | fcsem_standard_errors |
| Factor-component SEM: fcsem_standardized_rows | fcsem_standardized_rows |
| Candidate continuous misspecification-robust fit-index intervals | fit_index_intervals_misspec |
| Normal-theory fit measures, optionally with FMG robust p-values. | fit_measures |
| Case influence on fit measures | fit_measures_change |
| Misspecification-robust ordinal fit measures (estimated-weight intervals) | fit_measures_misspec |
| Misspecification-robust mixed continuous/ordinal DWLS fit measures | fit_measures_misspec_mixed_ordinal |
| Fit indices (CFI/TLI/RMSEA + SRMR) for a non-iterative CFA fit. | fit_measures_noniterative |
| Factor-component SEM: fit_ml_fcsem | fit_ml_fcsem |
| Estimate a structural equation model | fit_model |
| Fit a non-iterative CFA estimator. | fit_noniterative_cfa |
| Fit the estimator-side metric-constrained non-iterative CFA map. | fit_noniterative_cfa_metric |
| Fit the residual/loading restricted non-iterative CFA map. | fit_noniterative_cfa_restricted |
| Fit a two-level structural equation model | fit_twolevel |
| Foldnes-Moss-Gronneberg diagnostics for a nested continuous/FIML/ML2S pair. | fmg_nested |
| Foldnes-Moss-Gronneberg eigenvalue-tail diagnostics for a nested ordinal pair. | fmg_nested_mixed_ordinal fmg_nested_ordinal |
| Foldnes-Moss-Gronneberg goodness-of-fit p-values for a fitted magmaan model. | fmg_pvalues |
| Foldnes-Moss-Gronneberg goodness-of-fit diagnostics. | fmg_tests |
| Foldnes-Moss-Gronneberg goodness-of-fit diagnostics for an ordinal fit. | fmg_tests_mixed_ordinal fmg_tests_ordinal |
| Experimental fitting route: frontier_fit_fiml_multiinfo | frontier_fit_fiml_multiinfo |
| Experimental fitting route: frontier_fit_fiml_psd | frontier_fit_fiml_psd |
| Experimental fitting route: frontier_fit_gls_psd | frontier_fit_gls_psd |
| Experimental fitting route: frontier_fit_mixed_ordinal_psd | frontier_fit_mixed_ordinal_psd |
| Experimental fitting route: frontier_fit_ml_multiinfo | frontier_fit_ml_multiinfo |
| Experimental fitting route: frontier_fit_ml_psd | frontier_fit_ml_psd |
| Ordinary ML with Explicit PSD Recovery | frontier_fit_ml_psd_fallback |
| Experimental fitting route: frontier_fit_ml2s_psd | frontier_fit_ml2s_psd |
| Experimental fitting route: frontier_fit_ordinal_psd | frontier_fit_ordinal_psd |
| Experimental fitting route: frontier_fit_sphere | frontier_fit_sphere |
| Experimental fitting route: frontier_fit_uls_psd | frontier_fit_uls_psd |
| Experimental fitting route: frontier_fit_wls_psd | frontier_fit_wls_psd |
| Local Newton accuracy diagnostic | frontier_newton_accuracy |
| Reidentify a sphere fit | frontier_reidentify |
| Global curved-SEM multiplier score test. | global_score_flip_test |
| Estimate the diagonal of the Guttman H matrix. | guttman_h |
| Casewise rows of a prepared quadratic | inference_rows |
| Explicit geometry and sampling laws for lab primitives | infer_build_u_factor infer_build_u_factor_fit infer_build_u_factor_pairwise infer_build_u_factor_parts infer_continuous_ls_profile_lrt infer_continuous_ls_robust infer_ml_profile_lrt measures_reliability_cov measures_reliability_omega_multidim |
| Standardized residual diagnostics | lav_residuals |
| Composable native primitives | magmaan_core |
| Factor-component SEM: magmaan_fcsem | magmaan_fcsem |
| Mahalanobis distance of each case on the observed variables | mahalanobis_rerun |
| Screen modification diagnostics by significance and effect | mi_screen |
| Construct a lavaan-syntax model specification | model_spec |
| Post-fit parameter diagnostics: modification_indices | modification_indices |
| Post-fit parameter diagnostics: modification_indices_lrt | modification_indices_lrt |
| Robust modification indices and equality-release score tests | modification_indices_robust score_tests_robust |
| Read data described by a Mplus model | mplus_data |
| Construct a model from a Mplus input file | mplus_model |
| Compose ordinal invariance fits | mplus_wlsmv_invariance |
| Nuisance-effective nested score test without random sign calibration. | nested_score_test |
| Linearly-constrained non-iterative CFA fit (measurement invariance). | noniterative_cfa_constrained |
| Difference / pseudo-LRT test between two nested non-iterative CFA fits. | noniterative_cfa_difference_test |
| Grouped (multi-group / mean-structure) residual-based inference. | noniterative_cfa_grouped_inference |
| Residual-based inference for a non-iterative CFA fit. | noniterative_cfa_inference |
| Residual-based modification-index diagnostics for a non-iterative CFA fit. | noniterative_cfa_modification_indices |
| Pseudo-LRT between estimator-side nested non-iterative CFA fits. | noniterative_cfa_pseudo_lrt |
| True (lavaan-compatible) scalar-invariance test via the reference-group map. | noniterative_cfa_scalar_invariance |
| Delta-method standard errors for a non-iterative CFA fit. | noniterative_cfa_se |
| Wald test of a linear restriction R theta = q for a non-iterative CFA fit. | noniterative_cfa_wald |
| Assemble a lavaan-shaped parameter table (est / se / z / p / CI) from a fit and an explicit parameter covariance. | parameter_table |
| Policy fit indices with misspecification-robust point corrections | policy_fit_measures |
| Compose ordinary-user inference | policy_inference |
| Refit one modification-index candidate from the embedded null | policy_mi_refit |
| Policy modification indices and equality releases | policy_modification_indices |
| Compose ordinary-user nested inference | policy_nested |
| Shared continuous NTML inference geometry | inference_covariance inference_quadratic inference_reuse prepare_hypothesis prepare_inference_data |
| Reusable native model, data and weight preparation | augment_model_spec estimate prepare_data prepare_model prepare_weight |
| Refit a larger model from a restricted estimate | refit_from_null |
| Robust nested-model likelihood-ratio tests. | nestedTest robust_nested_lrt |
| All-ordinal estimated-weight IJ covariance | infer_ordinal_robust_ij robust_ordinal_ij |
| Structural after measurement estimation | sam |
| Multiplier score test for affine nested ML/FIML models. | score_flip_test |
| Post-fit parameter diagnostics: score_tests | score_tests |
| Post-fit parameter diagnostics: score_tests_lrt | score_tests_lrt |
| Reusable score ingredients and explicit inference | calibrate_quadratic inference_information parameter_covariance prepare_inference project_scores quadratic_reference resample_scores scores score_components score_components_from_matrices score_quadratic score_sandwich score_spectrum wald_test |
| Calibrate and draw model-implied continuous data in one call. | sim_model_batch |
| Calibrate model-implied continuous data generation. | sim_model_calibrate |
| Draw model-implied continuous data from a calibration object. | sim_model_draw |
| Calibrate and draw ordinal/continuous Pearson-code data in one call. | sim_ordcorr_batch |
| Calibrate ordinal/continuous Pearson-code correlation generation. | sim_ordcorr_calibrate |
| Draw ordinal/continuous Pearson-code data from a calibration object. | sim_ordcorr_draw |
| Calibrate and draw grouped ordinal/continuous data in one call. | sim_ordcorr_mg_batch |
| Calibrate grouped ordinal/continuous Pearson-code generation. | sim_ordcorr_mg_calibrate |
| Draw grouped ordinal/continuous data from a calibration object. | sim_ordcorr_mg_draw |
| Rebuild grouped ordinal-correlation calibrations from summary pieces. | sim_ordcorr_mg_summary_calibrate |
| Rebuild an ordinal-correlation calibration from latent summary pieces. | sim_ordcorr_summary_calibrate |
| Standardized parameter estimates | standardized |
| Row-level standardized estimates | standardized_rows |
| Check structural identification | structural_identification |
| Parameter covariance under an explicit statistical contract | vcov.magmaan_fit |
| Native library version | version |
