ate: Calculating average treatment effect
In dpuelz/CliqueRT: Randomization-Based Testing of Causal Effects under General Interference
View source: R/functions_stats.R
ate R Documentation
Calculating average treatment effect
Description
Returns difference in means between exposures b and a (as b - a), coded as 1 and -1, respectively.
Usage
ate(Z, Y)
Arguments
Z
The treatment vector. Entries of Z are 1 or -1,
indicating that under this treatment, individual is exposed to b or a
Y
The outcome vector
Value
The differenence in means between exposure contrasts b and a.
dpuelz/CliqueRT documentation built on Jan. 6, 2023, 11:20 p.m.
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View source: R/functions_stats.R
| ate | R Documentation |
Calculating average treatment effect
Description
Returns difference in means between exposures b and a (as b - a), coded as 1 and -1, respectively.
Usage
ate(Z, Y)
Arguments
Z |
The treatment vector. Entries of |
Y |
The outcome vector |
Value
The differenence in means between exposure contrasts b and a.
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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