Package index • stdmod

Standardized Moderation Effect

Standardize selected variables and form nonparametric bootstrapping confidence intervals. std_selected() and std_selected_boot() also support mean-centering and regression models without interaction terms. stdmod_lavaan() provides preliminary support for interaction terms in a model fitted by lavaan::lavaan().

std_selected() std_selected_boot(): Standardize Variables in a Regression Model

stdmod_lavaan(): Standardized Moderation Effect and Its Bootstrap CI in 'lavaan'

stdmod() stdmod_boot(): Standardized Moderation Effect Given an 'lm' Output

Helper Functions

Plot moderation effects or compute conditional effects for specific levels of the moderators.

plotmod(): Moderation Effect Plot

cond_effect() cond_effect_boot(): Conditional Effects

Other Functions

summary(<std_selected>): Summary Method for a 'std_selected' Class Object

update(<std_selected>): The 'update' Method for a 'std_selected' Class Object

vcov(<std_selected>): The 'vcov' Method for a 'std_selected' Class Object

add1(<std_selected>): The 'add1' Method for a 'std_selected' Class Object

confint(<std_selected>): Confidence Intervals for a 'std_selected' Class Object

print(<std_selected>): Print Basic Information of a 'std_selected' Class Object

print(<cond_effect>): Print a 'cond_effect' Class Object

coef(<cond_effect>): Conditional Effect in a 'cond_effect'-Class Object

confint(<cond_effect>): Confidence Intervals for a 'cond_effect' Class Object

print(<summary.std_selected>): Print the Summary of a 'std_selected' Class Object

confint(<stdmod_lavaan>): Confidence Intervals for a 'stdmod_lavaan' Class Object

print(<stdmod_lavaan>): Print a 'stdmod_lavaan' Class Object

coef(<stdmod_lavaan>): Standardized Moderation Effect in a 'stdmod_lavaan' Class Object

Datasets

Datasets used in examples.

sleep_emo_con: Sample Dataset: Predicting Sleep Duration

test_mod1: Sample Dataset: A Path Model With A Moderator

test_mod2: Sample Dataset: A Path Model With A Moderator

test_mod3_miss: Sample Dataset: A Path Model With A Moderator

test_x_1_w_1_v_1_cat1_n_500: Sample Dataset: One IV, One Moderator, Two Covariates

test_x_1_w_1_v_1_cat1_xw_cov_n_500: Sample Dataset: One IV, One Moderator, Two Covariates

test_x_1_w_1_v_1_cat1_xw_cov_wcat3_n_500: Sample Dataset: One IV, One 3-Category Moderator, Two Covariates

test_x_1_w_1_v_2_n_500: Sample Dataset: One IV, One Moderator, Two Covariates