covariate.balance: Estimate covariate effect sizes before and after propensity...
In multilevelPSA: Multilevel Propensity Score Analysis
Description
Estimate covariate effect sizes before and after propensity score adjustment.
Usage
1
covariate.balance(covariates, treatment, level2, strata, abs = TRUE)
Arguments
covariates
frame or matrix of covariates.
treatment
vector of treatment indicators.
level2
vector indicating level 2 membership.
strata
strata indicators.
abs
if TRUE absolute values of effect sizes will be plotted.
multilevelPSA documentation built on May 1, 2019, 9:19 p.m.
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Description
Estimate covariate effect sizes before and after propensity score adjustment.
Usage
1 | covariate.balance(covariates, treatment, level2, strata, abs = TRUE)
|
Arguments
covariates |
frame or matrix of covariates. |
treatment |
vector of treatment indicators. |
level2 |
vector indicating level 2 membership. |
strata |
strata indicators. |
abs |
if TRUE absolute values of effect sizes will be plotted. |
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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