| +.indirect |
Math Operators for 'indirect'-Class Objects |
| -.indirect |
Math Operators for 'indirect'-Class Objects |
| all_indirect_paths |
Enumerate All Indirect Effects in a Model |
| all_paths_to_df |
Enumerate All Indirect Effects in a Model |
| check_path |
Check a Path Exists in a Model |
| coef.cond_indirect_diff |
Print the Output of 'cond_indirect_diff()' |
| coef.cond_indirect_effects |
Estimates of Conditional Indirect Effects or Conditional Effects |
| coef.delta_med |
Delta_Med in a 'delta_med'-Class Object |
| coef.indirect |
Extract the Indirect Effect or Conditional Indirect Effect |
| coef.indirect_list |
Extract the Indirect Effects from a 'indirect_list' Object |
| coef.indirect_proportion |
Extract the Proportion of Effect Mediated |
| coef.lm_from_lavaan |
Coefficients of an 'lm_from_lavaan'-Class Object |
| cond_indirect |
Conditional, Indirect, and Conditional Indirect Effects |
| cond_indirect_diff |
Differences In Conditional Indirect Effects |
| cond_indirect_effects |
Conditional, Indirect, and Conditional Indirect Effects |
| confint.cond_indirect_diff |
Confidence Interval of the Output of 'cond_indirect_diff()' |
| confint.cond_indirect_effects |
Confidence Intervals of Indirect Effects or Conditional Indirect Effects |
| confint.delta_med |
Confidence Interval for Delta_Med in a 'delta_med'-Class Object |
| confint.indirect |
Confidence Interval of Indirect Effect or Conditional Indirect Effect |
| confint.indirect_list |
Confidence Intervals of Indirect Effects in an 'indirect_list' Object |
| data_med |
Sample Dataset: Simple Mediation |
| data_med_complicated |
Sample Dataset: A Complicated Mediation Model |
| data_med_complicated_mg |
Sample Dataset: A Complicated Mediation Model With Two Groups |
| data_med_mg |
Sample Dataset: Simple Mediation With Two Groups |
| data_med_mod_a |
Sample Dataset: Simple Mediation with a-Path Moderated |
| data_med_mod_ab |
Sample Dataset: Simple Mediation with Both Paths Moderated (Two Moderators) |
| data_med_mod_ab1 |
Sample Dataset: Simple Mediation with Both Paths Moderated By a Moderator |
| data_med_mod_b |
Sample Dataset: Simple Mediation with b-Path Moderated |
| data_med_mod_b_mod |
Sample Dataset: A Simple Mediation Model with b-Path Moderated-Moderation |
| data_med_mod_parallel |
Sample Dataset: Parallel Mediation with Two Moderators |
| data_med_mod_parallel_cat |
Sample Dataset: Parallel Moderated Mediation with Two Categorical Moderators |
| data_med_mod_serial |
Sample Dataset: Serial Mediation with Two Moderators |
| data_med_mod_serial_cat |
Sample Dataset: Serial Moderated Mediation with Two Categorical Moderators |
| data_med_mod_serial_parallel |
Sample Dataset: Serial-Parallel Mediation with Two Moderators |
| data_med_mod_serial_parallel_cat |
Sample Dataset: Serial-Parallel Moderated Mediation with Two Categorical Moderators |
| data_mod |
Sample Dataset: One Moderator |
| data_mod2 |
Sample Dataset: Two Moderators |
| data_mod_cat |
Sample Dataset: Moderation with One Categorical Moderator |
| data_mome_demo |
Sample Dataset: A Complicated Moderated-Mediation Model |
| data_mome_demo_missing |
Sample Dataset: A Complicated Moderated-Mediation Model With Missing Data |
| data_parallel |
Sample Dataset: Parallel Mediation |
| data_sem |
Sample Dataset: A Latent Variable Mediation Model With 4 Factors |
| data_serial |
Sample Dataset: Serial Mediation |
| data_serial_parallel |
Sample Dataset: Serial-Parallel Mediation |
| data_serial_parallel_latent |
Sample Dataset: A Latent Mediation Model With Three Mediators |
| delta_med |
Delta_Med by Liu, Yuan, and Li (2023) |
| do_boot |
Bootstrap Estimates for 'indirect_effects' and 'cond_indirect_effects' |
| do_mc |
Monte Carlo Estimates for 'indirect_effects' and 'cond_indirect_effects' |
| factor2var |
Create Dummy Variables |
| fit2boot_out |
Bootstrap Estimates for a 'lavaan' Output |
| fit2boot_out_do_boot |
Bootstrap Estimates for a 'lavaan' Output |
| fit2mc_out |
Monte Carlo Estimates for a 'lavaan' Output |
| gen_mc_est |
Monte Carlo Estimates for 'indirect_effects' and 'cond_indirect_effects' |
| get_one_cond_effect |
Get The Conditional Indirect Effect for One Row of 'cond_indirect_effects' Output |
| get_one_cond_indirect_effect |
Get The Conditional Indirect Effect for One Row of 'cond_indirect_effects' Output |
| get_prod |
Product Terms (if Any) Along a Path |
| index_of_mome |
Index of Moderated Mediation and Index of Moderated Moderated Mediation |
| index_of_momome |
Index of Moderated Mediation and Index of Moderated Moderated Mediation |
| indirect_effect |
Conditional, Indirect, and Conditional Indirect Effects |
| indirect_effects_from_list |
Coefficient Table of an 'indirect_list' Class Object |
| indirect_i |
Indirect Effect (No Bootstrapping) |
| indirect_proportion |
Proportion of Effect Mediated |
| lm2boot_out |
Bootstrap Estimates for 'lm' Outputs |
| lm2boot_out_parallel |
Bootstrap Estimates for 'lm' Outputs |
| lm2list |
Join 'lm()' Output to Form an 'lm_list'-Class Object |
| lm_from_lavaan_list |
'lavaan'-class to 'lm_from_lavaan_list'-Class |
| many_indirect_effects |
Conditional, Indirect, and Conditional Indirect Effects |
| math_indirect |
Math Operators for 'indirect'-Class Objects |
| merge_mod_levels |
Merge the Generated Levels of Moderators |
| modmed_x1m3w4y1 |
Sample Dataset: Moderated Serial Mediation |
| mod_levels |
Create Levels of Moderators |
| mod_levels_list |
Create Levels of Moderators |
| plot.cond_indirect_effects |
Plot Conditional Effects |
| plot_effect_vs_w |
Plot an Effect Against a Moderator |
| predict.lm_from_lavaan |
Predicted Values of a 'lm_from_lavaan'-Class Object |
| predict.lm_from_lavaan_list |
Predicted Values of an 'lm_from_lavaan_list'-Class Object |
| predict.lm_list |
Predicted Values of an 'lm_list'-Class Object |
| print.all_paths |
Print 'all_paths' Class Object |
| print.boot_out |
Print a 'boot_out'-Class Object |
| print.cond_indirect_diff |
Print the Output of 'cond_indirect_diff' |
| print.cond_indirect_effects |
Print a 'cond_indirect_effects' Class Object |
| print.delta_med |
Print a 'delta_med' Class Object |
| print.indirect |
Print an 'indirect' Class Object |
| print.indirect_list |
Print an 'indirect_list' Class Object |
| print.indirect_proportion |
Print an 'indirect_proportion'-Class Object |
| print.lm_list |
Print an 'lm_list'-Class Object |
| print.mc_out |
Print a 'mc_out'-Class Object |
| print.pseudo_johnson_neyman |
Pseudo Johnson-Neyman Probing |
| print.summary_lm_list |
Summary of an 'lm_list'-Class Object |
| pseudo_johnson_neyman |
Pseudo Johnson-Neyman Probing |
| simple_mediation_latent |
Sample Dataset: A Simple Latent Mediation Model |
| subsetting_cond_indirect_effects |
Extraction Methods for 'cond_indirect_effects' Outputs |
| subsetting_wlevels |
Extraction Methods for a 'wlevels'-class Object |
| summary.lm_list |
Summary of an 'lm_list'-Class Object |
| terms.lm_from_lavaan |
Model Terms of an 'lm_from_lavaan'-Class Object |
| total_indirect_effect |
Total Indirect Effect Between Two Variables |
| [.cond_indirect_effects |
Extraction Methods for 'cond_indirect_effects' Outputs |
| [.wlevels |
Extraction Methods for a 'wlevels'-class Object |
| [<-.wlevels |
Extraction Methods for a 'wlevels'-class Object |
| [[<-.wlevels |
Extraction Methods for a 'wlevels'-class Object |
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