# Mediation, Moderation and Moderated-Mediation After Model Fitting

## Documentation for package ‘manymome’ version 0.2.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A C D F G I J L M P S T misc

## -- A --

all_indirect_paths | Enumerate All Indirect Effects in a Model
all_paths_to_df | Enumerate All Indirect Effects in a Model
as.data.frame.cond_indirect_effects | Print a 'cond_indirect_effects' Class Object

## -- C --

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_effects | Conditional, Indirect, and Conditional Indirect Effects
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

## -- D --

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'

## -- F --

factor2var | Create Dummy Variables
fill_wlevels | Plot an Effect Against a Moderator
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

## -- G --

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

## -- I --

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

## -- J --

johnson_neyman | Pseudo Johnson-Neyman Probing

## -- L --

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

## -- M --

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

## -- P --

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
print_all_cond_effects | Get The Conditional Indirect Effect for One Row of 'cond_indirect_effects' Output
print_all_cond_indirect_effects | Get The Conditional Indirect Effect for One Row of 'cond_indirect_effects' Output
pseudo_johnson_neyman | Pseudo Johnson-Neyman Probing

## -- S --

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

## -- T --

terms.lm_from_lavaan | Model Terms of an 'lm_from_lavaan'-Class Object
total_indirect_effect | Total Indirect Effect Between Two Variables

## -- misc --

+.indirect | Math Operators for 'indirect'-Class Objects
-.indirect | Math Operators for 'indirect'-Class Objects
[.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