prepare_data: Prepare a dataset for imputation
In MixedDataImpute: Missing Data Imputation for Continuous and Categorical Data using Nonparametric Bayesian Joint Models
Description
Usage
Arguments
Value
Description
Prepares a dataset for imputation by mapping factor levels to integers and scaling
Y. Primarily used by hcmm_impute internally
Usage
1
prepare_data(X, Y, init = TRUE)
Arguments
X
A data frame of categorical variables (as factors)
Y
A matrix or data frame of continuous variables
init
If TRUE, initialize missing values (from a marginal bootstrap of
observed values)
Value
An object of class hcmm_data
MixedDataImpute documentation built on May 1, 2019, 9:29 p.m.
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Description Usage Arguments Value
Description
Prepares a dataset for imputation by mapping factor levels to integers and scaling
Y. Primarily used by hcmm_impute internally
Usage
1 | prepare_data(X, Y, init = TRUE)
|
Arguments
X |
A data frame of categorical variables (as factors) |
Y |
A matrix or data frame of continuous variables |
init |
If |
Value
An object of class hcmm_data
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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