indirect_effect_or: Indirect effect for loglinear models both with the...
In efflog: The Causal Effects for a Causal Loglinear Model
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function calculates the indirect effect using the odds ratio for any loglinear model and under dummy code parametrization
Usage
1
indirect_effect_or(x, y, z, w, t)
Arguments
x
it is the parameter μ^{Y=1}
y
it is the parameter μ^{X=1,Y=1}
z
it is the parameter μ^{Z=1, Y=1}
w
it is the parameter μ_c^{Z=1}
t
it is the parameter μ_c^{X=1,Z=1}
Value
indirect_effect_or returns the indirect effect
Author(s)
Gloria Gheno
References
Gheno Gloria (2015),The causal analysis in the loglinear model
Examples
1
indirect_effect_or(0.6,0.8,0.5,2,0.7)
efflog documentation built on May 2, 2019, 8:17 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
This function calculates the indirect effect using the odds ratio for any loglinear model and under dummy code parametrization
Usage
1 | indirect_effect_or(x, y, z, w, t)
|
Arguments
x |
it is the parameter μ^{Y=1} |
y |
it is the parameter μ^{X=1,Y=1} |
z |
it is the parameter μ^{Z=1, Y=1} |
w |
it is the parameter μ_c^{Z=1} |
t |
it is the parameter μ_c^{X=1,Z=1} |
Value
indirect_effect_or returns the indirect effect
Author(s)
Gloria Gheno
References
Gheno Gloria (2015),The causal analysis in the loglinear model
Examples
1 | indirect_effect_or(0.6,0.8,0.5,2,0.7)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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