PropensityAndOutcome-class: Class `"PropensityAndOutcome"`

Description

Identifies method as using both propensity score and outcome regressions.

Arguments

Objects from the Class

Objects can be created by calls of the form new("PropensityAndOutcome", ...). These objects are for convenience in package development and should not be created by users.

Slots

propen:: An object of class "PropensityRegression." Results of propensity score regression step(s).
outcome:: An object of class "OutcomeRegression." Results of outcome regression step(s).

Methods

coef: signature(object = "PropensityAndOutcome"): Retrieve the parameter estimates for each regression.
fitObject: signature(object = "PropensityAndOutcome"): Retrieve the value object returned by each regression method.
outcome: signature(object = "PropensityAndOutcome"): Retrieve the value object returned by each regression method.
plot: signature(x = "PropensityAndOutcome"): Generate plots of each regression object.
print: signature(x = "PropensityAndOutcome"): Print each regression object.
propen: signature(object = "PropensityAndOutcome"): Retrieve the value object returned by each propensity regression method.
show: signature(object = "PropensityAndOutcome"): Show key results of each regression object.
summary: signature(object = "PropensityAndOutcome"): Retrieve key summary information from each regression object.

Examples

Run this code

# NOT RUN {
showClass("PropensityAndOutcome")
# }

Run the code above in your browser using DataLab