Cloglin_mult {efflog}

Fitting a causal log-linear model with the multiplicative interaction

Description

Cloglin_mult is used to fit causal log-linear models and under dummy code parametrization

Usage

Cloglin_mult(table)

Arguments

table

it is a table containing the frequency distribution of the variables

Value

Cloglin_mult returns the estimated causal parameters of the additive form, their standard errors and their p-values which test the null hypothesis H_0: parameter=0.

Author(s)

Gloria Gheno

References

Gheno Gloria (2015), The causal analysis in the loglinear model

Examples

tableXZY<-data.frame(expand.grid( 
 X=factor(c("0","1"),levels=c("0","1")), 
  Z=factor(c("0","1"),levels=c("0","1")), 
  Y=factor(c("0","1"),levels=c("0","1"))), 
  count=c(57,47,21,39,31,40,20,95))
Cloglin_mult(tableXZY)