mediation: Mediation Analysis

In quantmeth/pathanalysis: Recursive path modelling

Mediation Analysis

Description

Return all direct and indirect effects within a recursive path model.

Usage

mediation(
  model,
  data = NULL,
  stat = all_indirect,
  nrep = 5000,
  alpha = 0.05,
  standardized = FALSE
)

Arguments

model	an object of class "formula": a symbolic description of the model to be fitted. More details of model specification are given under "Details". Basically, model is the order of the variables in the model from last (outcome variables) to first (exogenous variables).
data	an optional data frame, list or environment (or object coercible by as.data.frame() to a data frame) containing the variables in the model. If data = NULL, the variables are taken from environment(formula), typically the environment from which mediation is called.
stat	A function for the statistics to compute either all_indirect (saturated model) or specific_indirect
nrep	Number of repetitions for the boostrap. Default is 5000.
alpha	Type I error rate to build the 100 * (1-\alpha)% confidence interval. Default is .05.
standardized	Option to get standardized coefficients.

Details

Basically, mediation is a wrapper for the boot function from the pathanalysis package.

Value

The mediation analysis

Examples

mediation(model = y ~ m2 ~ m1 ~ x, data = medEX, standardized = TRUE)

quantmeth/pathanalysis documentation built on Aug. 6, 2023, 8:56 a.m.