+.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 |