mask_MCAR: Mask data
In udellgroup/mixedgcImp: Missing value imputation for mixed data through Gaussian copula
mask_MCAR R Documentation
Mask data
Description
Masks mask_fraction entries of X completely at random
Usage
mask_MCAR(X, mask_fraction, seed = NULL, silence_rate = 0.01, mask_cols = NULL)
Arguments
X
data to be masked
mask_fraction
Fraction of observed entries to be masked
seed
Seed for mask
silence_rate
The random masking is done while ensuring there is no empty row, which may lead to smaller than specified mask_fraction. If the difference is more than silence_rate, a message will be printed
mask_cols
If not NULL, the masking only happens in columns mask_cols
Value
masked data
udellgroup/mixedgcImp documentation built on Jan. 25, 2023, 7:55 p.m.
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| mask_MCAR | R Documentation |
Mask data
Description
Masks mask_fraction entries of X completely at random
Usage
mask_MCAR(X, mask_fraction, seed = NULL, silence_rate = 0.01, mask_cols = NULL)
Arguments
X |
data to be masked |
mask_fraction |
Fraction of observed entries to be masked |
seed |
Seed for mask |
silence_rate |
The random masking is done while ensuring there is no empty row, which may lead to smaller than specified |
mask_cols |
If not |
Value
masked 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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