Package index • betaselectr

Main Functions

lav_betaselect(): Betas-Select in a 'lavaan'-Model

lm_betaselect() glm_betaselect() print(<lm_betaselect>) print(<glm_betaselect>) raw_output(): Betas-Select in a Regression Model

Helper Functions

std_data(): Standardize Selected Variables

Methods for lav_betaselect()

print(<lav_betaselect>): Print a 'lav_betaselect' Object

coef(<lav_betaselect>): Coefficients of a 'lav_betaselect'-Class Object

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

Methods for lm_betaselect() and glm_betaselect()

anova(<lm_betaselect>) anova(<glm_betaselect>): ANOVA Tables For 'lm_betaselect' and 'glm_betaselect' Objects

coef(<lm_betaselect>) coef(<glm_betaselect>): Coefficients of Beta-Select in Linear Models

confint(<lm_betaselect>) confint(<glm_betaselect>): Confidence Interval for 'lm_betaselect' or 'glm_betaselect' Objects

getCall(<lm_betaselect>) getCall(<glm_betaselect>): Call in an 'lm_betaselect' or 'glm_betaselect' Object

predict(<lm_betaselect>): Predict Method for an 'lm_betaselect' Object

summary(<lm_betaselect>) print(<summary.lm_betaselect>): Summary of an 'lm_betaselect'-Class Object

vcov(<lm_betaselect>) vcov(<glm_betaselect>): The 'vcov' Method for 'lm_betaselect' and glm_betaselect Objects

predict(<glm_betaselect>): Predict Method for a 'glm_betaselect' Object

summary(<glm_betaselect>) print(<summary.glm_betaselect>): Summary of an 'glm_betaselect'-Class Object

Datasets

Datasets used in examples.

data_test_medmod: Test Dataset with Moderator and Mediator

data_test_mod_cat: Test Dataset with Moderator and Categorical Variables

data_test_mod_cat2: Test Dataset with Moderator and Categorical Variables (Version 2)

data_test_mod_cat_binary: Test Dataset with a Binary Outcome Variable