get_balance_v_sample_size: Compute the overall level of balance versus the effective...
In ebenmichael/multical: Multilevel calibration weighting for surveys
Description
Usage
Arguments
Value
Description
For each value of the hyper-parameter, computes the effective sample size
and the overall root sum of squared differences in all interactions,
normalized by the size of the target population
Usage
1
get_balance_v_sample_size(output, order)
Arguments
output
Output of multical
order
Integer. Order of interactions to include in the balance measure
Value
A data frame with the imbalance and effective sample size for each
value of the hyper-parameter
ebenmichael/multical documentation built on Dec. 20, 2021, 3:12 a.m.
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Description Usage Arguments Value
Description
For each value of the hyper-parameter, computes the effective sample size and the overall root sum of squared differences in all interactions, normalized by the size of the target population
Usage
1 | get_balance_v_sample_size(output, order)
|
Arguments
output |
Output of |
order |
Integer. Order of interactions to include in the balance measure |
Value
A data frame with the imbalance and effective sample size for each value of the hyper-parameter
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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