compute_probs: Estimating marginal and joint probabilities in imputed or...
In NPBayesImputeCat: Non-Parametric Bayesian Multiple Imputation for Categorical Data
compute_probs R Documentation
Estimating marginal and joint probabilities in imputed or synthetic datasets
Description
Estimating marginal and joint probabilities in imputed or synthetic datasets
Usage
compute_probs(InputData, varlist)
Arguments
InputData
a list of imputed or synthetic datasets
varlist
a list of variable names (or combination of names) to evaluate (marginal or joint) probabilities for
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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| compute_probs | R Documentation |
Estimating marginal and joint probabilities in imputed or synthetic datasets
Description
Estimating marginal and joint probabilities in imputed or synthetic datasets
Usage
compute_probs(InputData, varlist)
Arguments
InputData |
a list of imputed or synthetic datasets |
varlist |
a list of variable names (or combination of names) to evaluate (marginal or joint) probabilities for |
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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