estimate: Estimate DAG model

In DiogoFerrari/idar: Identification Analysis and Structural Causal Model Estimation in R

Estimate DAG model

Description

Estimate the causal effect based on the DAG model

Usage

estimate(
  cause,
  effect,
  dag,
  data,
  categorical = NULL,
  ordinal = NULL,
  weights = NULL
)

Arguments

cause	a string with the name of the node to check if its causal effect on 'effect' is identifiable
effect	a string with the name of the node to check if the causal effect of 'cause' on this node is identifiable
dag	a string with the DAG
data	a data.frame with the data
categorical	a string vector with the name of the categorical endogenous variables (see lavaan documentation for 'ordered' variables)
ordinal	a string vector with the name of the ordinal discrete endogenous variables (see lavaan documentation for 'ordered' variables)
weights	string with the name of the variable in the data frame with the sample weights. Optional.

DiogoFerrari/idar documentation built on May 27, 2022, 10:07 p.m.