total_effect: Retrieve Total Effect estimates
In inferference: Methods for Causal Inference with Interference
Description
Usage
Arguments
Value
Description
Retrieves the population average total causal effect for
specified allocations:
Yhat(0, alpha1) - Yhat(1, alpha2)
Usage
1
2
3
total_effect(object, allocation1, allocation2 = NULL, trt.lvl1 = 0)
te(object, allocation1, allocation2 = NULL, trt.lvl1 = 0)
Arguments
object
an object of class interference
allocation1
the allocation scheme for which to estimate total effects
allocation2
the allocation scheme for which to estimate total effects
If NULL, then returns all indirect effects compared to allocation1.
trt.lvl1
Defaults to 0.
Value
a data.frame with requested values
inferference documentation built on April 21, 2021, 5:06 p.m.
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Description Usage Arguments Value
Description
Retrieves the population average total causal effect for specified allocations: Yhat(0, alpha1) - Yhat(1, alpha2)
Usage
1 2 3 | total_effect(object, allocation1, allocation2 = NULL, trt.lvl1 = 0)
te(object, allocation1, allocation2 = NULL, trt.lvl1 = 0)
|
Arguments
object |
an object of class |
allocation1 |
the allocation scheme for which to estimate total effects |
allocation2 |
the allocation scheme for which to estimate total effects If NULL, then returns all indirect effects compared to allocation1. |
trt.lvl1 |
Defaults to 0. |
Value
a data.frame with requested values
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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