Mediation, Moderation and Moderated-Mediation After Model Fitting

all_indirect_paths | 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... |

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 |

confint.cond_indirect_diff | Confidence Interval of the Output of 'cond_indirect_diff()' |

confint.cond_indirect_effects | Confidence Intervals of Indirect Effects or Conditional... |

confint.delta_med | Confidence Interval for Delta_Med in a 'delta_med'-Class... |

confint.indirect | Confidence Interval of Indirect Effect or Conditional... |

confint.indirect_list | Confidence Intervals of Indirect Effects in an... |

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... |

data_med_mod_ab1 | Sample Dataset: Simple Mediation with Both Paths Moderated By... |

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... |

data_med_mod_parallel | Sample Dataset: Parallel Mediation with Two Moderators |

data_med_mod_parallel_cat | Sample Dataset: Parallel Moderated Mediation with Two... |

data_med_mod_serial | Sample Dataset: Serial Mediation with Two Moderators |

data_med_mod_serial_cat | Sample Dataset: Serial Moderated Mediation with Two... |

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... |

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... |

data_parallel | Sample Dataset: Parallel Mediation |

data_sem | Sample Dataset: A Latent Variable Mediation Model With 4... |

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... |

do_mc | Monte Carlo Estimates for 'indirect_effects' and... |

factor2var | Create Dummy Variables |

fit2boot_out | Bootstrap Estimates for a 'lavaan' Output |

fit2mc_out | Monte Carlo Estimates for a 'lavaan' Output |

get_one_cond_indirect_effect | Get The Conditional Indirect Effect for One Row of... |

get_prod | Product Terms (if Any) Along a Path |

index_of_mome | Index of Moderated Mediation and Index of Moderated Moderated... |

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 |

lm2list | Join 'lm()' Output to Form an 'lm_list'-Class Object |

lm_from_lavaan_list | 'lavaan'-class to 'lm_from_lavaan_list'-Class |

manymome-package | manymome: Mediation, Moderation and Moderated-Mediation After... |

math_indirect | Math Operators for 'indirect'-Class Objects |

merge_mod_levels | Merge the Generated Levels of Moderators |

mod_levels | Create Levels of Moderators |

modmed_x1m3w4y1 | Sample Dataset: Moderated Serial Mediation |

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 |

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 |

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