pi.true: Calculate true propensity scores in the simulation study
In jitonglou/MultiMlearn: Statistical Learning Methods for Optimizing Individualized Treatment Rules
Description
Usage
Arguments
Value
Description
This function uses equation (2) in Section S.1.1 of the supplementary material
to calculate true propensity scores for subjects in the simulated datasets.
Usage
1
pi.true(X, K)
Arguments
X
a covariate matrix of subjects.
K
the number of treatments.
Value
A matrix of true propensity scores of assigning each subject (row) to each treatment (column).
jitonglou/MultiMlearn documentation built on Dec. 21, 2021, 12:08 a.m.
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Description Usage Arguments Value
Description
This function uses equation (2) in Section S.1.1 of the supplementary material
to calculate true propensity scores for subjects in the simulated datasets.
Usage
1 | pi.true(X, K)
|
Arguments
X |
a covariate matrix of subjects. |
K |
the number of treatments. |
Value
A matrix of true propensity scores of assigning each subject (row) to each treatment (column).
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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