ANES Raking Implementation

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Documentation for package ‘anesrake’ version 0.80

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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