T.studentized: Compute the stratified studentized test statistic.
In gwb/RGroupFormation: Randomization tests for group-formation experiments
Description
Usage
Arguments
Details
Value
Description
T.studentizedd computes the studentized difference in outcomes
between untis assigned to treatment k and those assigned to
treatment l, stratifying by values in A.
Usage
1
T.studentized(W, Y, k, l, A)
Arguments
W
A vector representing the assignment of units to treatments
(or exposures).
Y
A vector representing the vector of observed outcomes. Must be
of the same length as W.
k
An integer. One of the treatments to be contrasted.
l
An integer. The other treatment to be contrasted.
A
A vector representing the values to stratify on. Must be of
the same length as A.
Details
The test statistic is described in Basse et al. (2020+).
Value
A scalar.
gwb/RGroupFormation documentation built on Sept. 13, 2020, 4:41 p.m.
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Description Usage Arguments Details Value
Description
T.studentizedd computes the studentized difference in outcomes
between untis assigned to treatment k and those assigned to
treatment l, stratifying by values in A.
Usage
1 | T.studentized(W, Y, k, l, A)
|
Arguments
W |
A vector representing the assignment of units to treatments (or exposures). |
Y |
A vector representing the vector of observed outcomes. Must be
of the same length as |
k |
An integer. One of the treatments to be contrasted. |
l |
An integer. The other treatment to be contrasted. |
A |
A vector representing the values to stratify on. Must be of
the same length as |
Details
The test statistic is described in Basse et al. (2020+).
Value
A scalar.
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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