Function reference

All functions

assess()

Assess Generalizability of Randomized Sample to Population

.generate.ps()

Generate Sample Participation Probabilities

.get.covariate.bounds()

Find covariate bounds in the sample data

.get.gen.index()

Calculate Generalizability Index

.make.covariate.table()

Create Covariate Balance Table

.trim.pop()

Subset Population so Population Covariates are within bounds of Sample Covariates

print(<generalizeR_assess>)

Print method for "generalizeR_assess" class

print(<generalizeR_recruit>)

Print method for "generalizeR_recruit" class

print(<generalizeR_stratify>)

Print method for "generalizeR_stratify" class

print(<generalizeR_weighting>)

Print method for "generalizeR_weighting" class

print(<summary.generalizeR_assess>)

Print method for "summary.generalizeR_assess" class

print(<summary.generalizeR_stratify>)

Print method for "summary.generalizeR_stratify" class

print(<summary.generalizeR_weighting>)

Print method for "summary.generalizeR_weighting" class

recruit()

Recruit Units from a Population for Sampling

stratify()

Stratify a Population Data Frame

summary(<generalizeR_assess>)

Summary method for "generalizeR_assess" class

summary(<generalizeR_stratify>)

Summary method for "generalizeR_stratify" class

summary(<generalizeR_weighting>)

Summary method for "generalizeR_weighting" class

weighting()

Estimate Weights for Generalizing Average Treatment Effect