propScores: Calculate propensity score for matching.
In jwolfson/medMatch: Sensitivity analysis for mediation effects via matching.
Description
Usage
Arguments
Details
Value
Description
Computes the propensity score for treatment based on covariates. Should not generally be called directly.
Usage
1
propScores(dat)
Arguments
dat
A data frame containing columns for the treatment (Z), outcome (Y),
potential mediator (S and S.cat), and baseline covariates (W1, W2, ...)
Details
The propensity scores are computed by fitting a logistic regression model to the binary outcome Y,
with linear terms for each of the baseline covariates W1, W2, ...
Value
A vector of propensity scores of the same length as Z.
jwolfson/medMatch documentation built on May 20, 2019, 6:27 a.m.
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Description Usage Arguments Details Value
Description
Computes the propensity score for treatment based on covariates. Should not generally be called directly.
Usage
1 | propScores(dat)
|
Arguments
dat |
A data frame containing columns for the treatment ( |
Details
The propensity scores are computed by fitting a logistic regression model to the binary outcome Y,
with linear terms for each of the baseline covariates W1, W2, ...
Value
A vector of propensity scores of the same length as Z.
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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