compute_ot: Compute outcome tests for disparate impact of a policy
In jongbinjung/undi: Test for Unjustified Disparate Impact
Description
Usage
Arguments
Value
Description
Compute outcome tests for disparate impact of a policy
Usage
1
compute_ot(pol, controls = NULL)
Arguments
pol
object of class policy
controls
character vector of additional controls to consider (i.e.,
conditional groupings)
Value
data frame, grouped by the group and additional columns specified in
the controls arguments and corresponding hitrate, i.e.,
P(outcome = 1 | treatment = risk_treatment), where
risk_treatment = ifelse(pol$risk_col == "resp_trt", 1, 0).
jongbinjung/undi documentation built on May 8, 2019, 11:56 p.m.
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Description Usage Arguments Value
Description
Compute outcome tests for disparate impact of a policy
Usage
1 | compute_ot(pol, controls = NULL)
|
Arguments
pol |
object of class policy |
controls |
character vector of additional controls to consider (i.e., conditional groupings) |
Value
data frame, grouped by the group and additional columns specified in
the controls arguments and corresponding hitrate, i.e.,
P(outcome = 1 | treatment = risk_treatment), where
risk_treatment = ifelse(pol$risk_col == "resp_trt", 1, 0).
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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