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efflog (version 1.0)

The Causal Effects for a Causal Loglinear Model

Description

Fitting a causal loglinear model and calculating the causal effects for a causal loglinear model with the multiplicative interaction or without the multiplicative interaction, obtaining the natural direct, indirect and the total effect. It calculates also the cell effect, which is a new interaction effect.

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Version

Install

install.packages('efflog')

Monthly Downloads

29

Version

1.0

License

GPL (>= 2)

Maintainer

Gloria Gheno

Last Published

July 16th, 2015

Functions in efflog (1.0)

Cloglin_mult

Fitting a causal log-linear model with the multiplicative interaction
exp_par_mult

Fitting causal log-linear model
indirect_effect_or

Indirect effect for loglinear models both with the multiplicative interaction and without it
Cloglin

Fitting a causal log-linear model without the multiplicative interaction
ndirect_effect_or

Natural direct effect for loglinear models without the multiplicative interaction
exp_par

Fitting causal log-linear models without the multiplicative interaction
total_effect_mult_or

Total effect for loglinear models with the multiplicative interaction
cell_effect_mult_or

Cell effect for loglinear models with the multiplicative interaction
cell_effect_or

Cell effect for loglinear models without the multiplicative interaction
total_effect_or

Total effect for loglinear models without the multiplicative interaction
efflog-package

The Causal Effects for a Causal Loglinear Model
ndirect_effect_mult_or

Natural direct effect for loglinear models with the multiplicative interaction