remap_imputations: Map raw imputations back to original scale/factor labels.
In MixedDataImpute: Missing Data Imputation for Continuous and Categorical Data using Nonparametric Bayesian Joint Models
Description
Usage
Arguments
Value
Description
Map raw imputations back to original scale (for continuous data) or factor labels.
Most users can ignore this function, which is primarily used by hcmm_impute
internally.
Usage
1
remap_imputations(Ximp, Yimp, hcmmdat)
Arguments
Ximp
A raw imputed X matrix
Yimp
A raw imputed Y matrix
hcmmdat
An hcmm_data object, used to recode/rescale the raw imputations
Value
A list with elements X and Y (transformed imputations).
MixedDataImpute documentation built on May 1, 2019, 9:29 p.m.
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Description Usage Arguments Value
Description
Map raw imputations back to original scale (for continuous data) or factor labels.
Most users can ignore this function, which is primarily used by hcmm_impute
internally.
Usage
1 | remap_imputations(Ximp, Yimp, hcmmdat)
|
Arguments
Ximp |
A raw imputed X matrix |
Yimp |
A raw imputed Y matrix |
hcmmdat |
An |
Value
A list with elements X and Y (transformed imputations).
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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