cell_effect_or: Cell effect for loglinear model without the multiplicative...
In rforge/causality: The causal effects for a causal loglinear model
Description
Usage
Arguments
Value
Author(s)
References
Examples
View source: R/cell_effect_or.R
Description
This function calculates the cell effect using the odds ratio for a loglinear model
without the multiplicative interaction and under dummy code parametrization
Usage
1
cell_effect_or(x, y, z, w)
Arguments
x
it is the parameter μ^{Y=1}
y
it is the parameter μ^{Y=1,X=1}
z
it is the parameter μ^{Y=1, Z=1}
w
it is the parameter μ_c^{Z=1}
Value
The cell effect
Author(s)
Gloria Gheno
References
Gheno, Gloria, (2015),The causal analysis in the loglinear model
Examples
1
2
#> cell_effect_or(0.6,0.8,0.5,2)
#[1] 1.004926
rforge/causality documentation built on Feb. 21, 2022, 7:44 a.m.
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Description Usage Arguments Value Author(s) References Examples
View source: R/cell_effect_or.R
Description
This function calculates the cell effect using the odds ratio for a loglinear model without the multiplicative interaction and under dummy code parametrization
Usage
1 | cell_effect_or(x, y, z, w)
|
Arguments
x |
it is the parameter μ^{Y=1} |
y |
it is the parameter μ^{Y=1,X=1} |
z |
it is the parameter μ^{Y=1, Z=1} |
w |
it is the parameter μ_c^{Z=1} |
Value
The cell effect
Author(s)
Gloria Gheno
References
Gheno, Gloria, (2015),The causal analysis in the loglinear model
Examples
1 2 | #> cell_effect_or(0.6,0.8,0.5,2)
#[1] 1.004926
|
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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