R: ANES Raking Implementation

# ANES Raking Implementation

## Documentation for package ‘anesrake’ version 0.80

- DESCRIPTION file

## Help Pages

anes04 | Demographic Data From 2004 American National Election Studies (ANES)
anesrake | Function to perform full ANES variable selection and weighting.
anesrakefinder | Function to determine what variables should be used for weighting.
discrep | Function to determine the discrepancy for each level of a variable from targets.
discrep.default | Function to determine the discrepancy for each level of a variable from targets.
discrep.factor | Function to determine the discrepancy for each level of a variable from targets.
discrep.logical | Function to determine the discrepancy for each level of a variable from targets.
discrep.numeric | Function to determine the discrepancy for each level of a variable from targets.
generaldesigneffect | Calculates a general design effect given weights for a dataset.
print.anesrake | Function to perform full ANES variable selection and weighting.
print.anesrakelist | Function to perform full ANES weighting on selected variables.
rakelist | Function to perform full ANES weighting on selected variables.
rakeonvar | Function to perform full ANES weighting on selected variables.
rakeonvar.default | Function to perform full ANES weighting on selected variables.
rakeonvar.factor | Function to perform full ANES weighting on selected variables.
rakeonvar.logical | Function to perform full ANES weighting on selected variables.
rakeonvar.numeric | Function to perform full ANES weighting on selected variables.
selecthighestpcts | Function to determine what variables should be used for weighting.
selectnhighest | Function to determine what variables should be used for weighting.
summary.anesrake | Function to perform full ANES variable selection and weighting.
summary.anesrakelist | Function to perform full ANES weighting on selected variables.
weightassess | Assessment of Weighting