getPropensityScore: Fit propensity scores using logistic regression.
In MultiObjMatch: Multi-Objective Matching Algorithm
getPropensityScore R Documentation
Fit propensity scores using logistic regression.
Description
Fit propensity scores using logistic regression.
Usage
getPropensityScore(data, covs)
Arguments
data
dataframe that contains a column named "treat", the treatment
vector, and columns of covariates specified.
covs
factor of column names of covariates used for fitting a
propensity score model.
Value
vector of estimated propensity scores (on the probability scale).
MultiObjMatch documentation built on Sept. 11, 2024, 6:45 p.m.
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| getPropensityScore | R Documentation |
Fit propensity scores using logistic regression.
Description
Fit propensity scores using logistic regression.
Usage
getPropensityScore(data, covs)
Arguments
data |
dataframe that contains a column named "treat", the treatment vector, and columns of covariates specified. |
covs |
factor of column names of covariates used for fitting a propensity score model. |
Value
vector of estimated propensity scores (on the probability scale).
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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