IPTW.ATE: Inverse probability of treatment weighting using stabilized...
In RcmdrPlugin.EZR: R Commander Plug-in for the EZR (Easy R) Package
IPTW.ATE R Documentation
Inverse probability of treatment weighting using stabilized weights based on propensity score
Description
Return stabilized weights calculated based on propensity score and assess balance of covariates between the groups.
Usage
IPTW.ATE(GLM)
Arguments
GLM
an object of class "glm", usually, a result of a call to glm.
Details
By putting the result of a logistic regression analysis to calculate propensity scores into IPTW.ATE(), this function returns a stabilized weight variable calculated based on propensity scores and assesses the balance of covariates between the groups.
Value
an object of class "glm"
RcmdrPlugin.EZR documentation built on Oct. 24, 2023, 5:06 p.m.
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| IPTW.ATE | R Documentation |
Inverse probability of treatment weighting using stabilized weights based on propensity score
Description
Return stabilized weights calculated based on propensity score and assess balance of covariates between the groups.
Usage
IPTW.ATE(GLM)
Arguments
GLM |
an object of class "glm", usually, a result of a call to glm. |
Details
By putting the result of a logistic regression analysis to calculate propensity scores into IPTW.ATE(), this function returns a stabilized weight variable calculated based on propensity scores and assesses the balance of covariates between the groups.
Value
an object of class "glm"
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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