Package index • semhelpinghands

Parameter Estimates Tables Manipulation

Functions for manipulating parameter estimates tables

add_sig(): Add Significant Test Results

filter_by(): Filter a Parameter Estimates Table

group_by_dvs() group_by_ivs(): Group Estimates By Dependent or Independent Variables

group_by_groups(): Group Estimates By Groups

group_by_models(): Group Estimates By Models

sort_by(): Sort a Parameter Estimates Table

print(<est_table>): Print an 'est_table' Object

Compare Methods

compare_estimators() se_ratios(): Refit a 'lavaan'-Model by Several Estimators

fitMeasures_by_models(): Fit Measures By Models

print(<fit_by_models>): Print a 'fit_by_models' Object

Bootstrapping

standardizedSolution_boot_ci() store_boot_est_std() get_boot_est_std(): Bootstrap CIs for Standardized Solution

store_boot_def() get_boot_def(): Store Bootstrap Estimates of User-Defined Parameters

print(<std_solution_boot>): Print an 'std_solution_boot' Object

plot_boot(): Diagnostic Plots of Bootstrap Estimates in 'lavaan'

Understanding and Learning SEM

annotate_matrices() print(<annotate_matrices>): Annotate the Matrices of a 'lavaan' Model

plot_models_fm(): Plot Models on a Chi-Squares-vs-Dfs Graph

show_cfi() show_tli() show_ifi(): Visualize How CFI and TLI Are Computed

show_options() print(<show_options>): Show Major Options in an Output of 'lavaan'

Other Helpers

show_more_options() print(<show_more_options>): Show More Major Options in an Output of 'lavaan'

record_history() plot(<fit_history>) print(<fit_history>): Record the Minimization History

add_exo_cov() auto_exo_cov(): Add Covariances Between Exogenous Variables

vec_rsquare() vec_sample_vcov() vec_sample_var() vec_est_var() vec_est_se() vec_def_var() vec_def_se() vec_lavTestLRT() vec_lavTestScore() vec_lavTestWald() vec_compRelSEM(): Wrapper Functions to Extract Information as a Vector

ptable_to_syntax() compare_ptables(): Convert a 'lavaan' Parameter Table to a 'lavaan' Model Syntax

Datasets

Datasets used in examples and vignettes.

dvs_ivs: Sample Dataset: 3 Predictors and 3 Outcomes

simple_mediation: Sample Dataset: Simple Mediation