weight.data
iteratively re-weights the data to find the best fit
to a list of target distributions.
1 2 3 4 | weight.data(data.frame, target.distributions,
data.frame.weight.name = default.weight.name,
target.distribution.weight.names = default.weight.name, epsilon = 0.01,
max.steps = 10)
|
data.frame |
(data.frame) the data.frame with source data. |
target.distributions |
(list of data.frame) one more target distributions that the re-weighted data should approximate. |
data.frame.weight.name |
(character) the name of the weight variable
in the source |
target.distribution.weight.names |
(character) the names of weight variables
in the |
epsilon |
(numeric) the target precision of the approximation. |
max.steps |
(numeric) the maximum number of times the algorithm will re-weight the data to find the best fit. |
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