pool_estimated_probs: Pool probability estimates from imputed or synthetic datasets
In NPBayesImputeCat: Non-Parametric Bayesian Multiple Imputation for Categorical Data
pool_estimated_probs R Documentation
Pool probability estimates from imputed or synthetic datasets
Description
Pool probability estimates from imputed or synthetic datasets
Usage
pool_estimated_probs(ComputeProbsResults, method =
c("imputation", "synthesis_full", "synthesis_partial"))
Arguments
ComputeProbsResults
output from the compute_probs function
method
choose between "imputation", "synthesis_full", "synthesis_partial"
Value
Results: a list of marginal and joint probability results after combining rules
NPBayesImputeCat documentation built on Oct. 3, 2022, 5:05 p.m.
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| pool_estimated_probs | R Documentation |
Pool probability estimates from imputed or synthetic datasets
Description
Pool probability estimates from imputed or synthetic datasets
Usage
pool_estimated_probs(ComputeProbsResults, method =
c("imputation", "synthesis_full", "synthesis_partial"))
Arguments
ComputeProbsResults |
output from the compute_probs function |
method |
choose between "imputation", "synthesis_full", "synthesis_partial" |
Value
Results: a list of marginal and joint probability results after combining rules
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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