Specify a two-condition mediation model

Specify a two-condition mediation model

Usage

wsmed_model(
  outcome,
  mediators,
  conditions = names(outcome),
  covariates = list(),
  structure = "parallel",
  paths = NULL,
  moderator = NULL
)

Arguments

outcome

Named pair of outcome columns, in condition order.

mediators

Named list of pairs of mediator columns.

conditions

Two condition names. Defaults to the outcome pair names.

covariates

List with between column names and within named pairs.

structure

One of parallel, serial, serial_parallel, parallel_serial, or custom. Mediator order matters for predefined serial structures.

paths

Directed edges using mediator role names and Y, for custom models.

moderator

NULL or a list with variable, main_effects, interactions, and optionally average_interactions. Only main_effects = "all_equations" is currently supported. Interactions name edges such as "stress -> Y".

Value

A wsmed_model specification, without data or fitted estimates.

Details

All moderator main effects are explicitly included in all difference equations. Difference-slope and average-slope interactions are separate. Categorical between-subject predictors must be unordered factors in the staged workflow. Use the same explicit factor declaration with wsMed(). Set factor levels explicitly; the first level is the reference group.

See also

wsmed_categorical for supported variable roles and factor coding.