Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 6 of 6 found.
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anesrakefinder (Package: anesrake) :

anesrake takes a list of variables and target values and determines which variables should be used for weighting in accordance with DeBell and Krosnick, 2009. Used as part of anesrake.
● Data Source: CranContrib
● Keywords: ~variable selection
● Alias: anesrakefinder, selecthighestpcts, selectnhighest
● 0 images

discrep (Package: anesrake) :

Finds the discrepancy between the proportion of data in each level of a weighted vector and a set of targets for each level of that same vector. Used as part of anesrake.
● Data Source: CranContrib
● Keywords:
● Alias: discrep, discrep.default, discrep.factor, discrep.logical, discrep.numeric
● 0 images

generaldesigneffect (Package: anesrake) :

Calculates a general design effect given weights for a dataset.
● Data Source: CranContrib
● Keywords:
● Alias: generaldesigneffect
● 0 images

rakelist (Package: anesrake) :

rakelist takes a list of variables and target values weights a dataset with those variables to match the targets via raking. It is the primary workhorse command of anesrake.
● Data Source: CranContrib
● Keywords: ~raking, ~weights
● Alias: print.anesrakelist, rakelist, rakeonvar, rakeonvar.default, rakeonvar.factor, rakeonvar.logical, rakeonvar.numeric, summary.anesrakelist
● 0 images

anesrake (Package: anesrake) :

anesrake takes a list of variables and target values and determines how they should be weighted to match the procedures outlined in DeBell and Krosnick, 2009. It then performs raking to develop weights for the variables selected such that they match the targets provided.
● Data Source: CranContrib
● Keywords: ~raking, ~variable selection, ~weights
● Alias: anesrake, print.anesrake, summary.anesrake
● 0 images

weightassess (Package: anesrake) :

Shows weighted data on specified variables compared to targets and baseweights.
● Data Source: CranContrib
● Keywords:
● Alias: weightassess
● 0 images