mlr.smd: Standardized mean difference
In MatchLinReg: Combining Matching and Linear Regression for Causal Inference
mlr.smd R Documentation
Standardized mean difference
Description
Calculate standardized mean difference for each column of a matrix, given a binary treatment indicator vector.
Usage
mlr.smd(tr, X)
Arguments
tr
Binary treatment indicator vector; 1 means treatment, 0 means control.
X
Matrix of covariates; each column is a covariate whose standardized mean difference we want to calculate. nrow(X) must be equal to length(tr).
Value
A vector of length ncol(X), containing standardized mean differences for each column of X, given treatment variable tr.
Author(s)
Alireza S. Mahani, Mansour T.A. Sharabiani
MatchLinReg documentation built on Aug. 30, 2022, 5:05 p.m.
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| mlr.smd | R Documentation |
Standardized mean difference
Description
Calculate standardized mean difference for each column of a matrix, given a binary treatment indicator vector.
Usage
mlr.smd(tr, X)
Arguments
tr |
Binary treatment indicator vector; 1 means treatment, 0 means control. |
X |
Matrix of covariates; each column is a covariate whose standardized mean difference we want to calculate. |
Value
A vector of length ncol(X), containing standardized mean differences for each column of X, given treatment variable tr.
Author(s)
Alireza S. Mahani, Mansour T.A. Sharabiani
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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