lzy_impute: Mean impute and optionally add missingness indicator
In alexpghayes/hayeslib: Hayeslib
Description
Usage
Arguments
Value
Description
For fast prototyping only!
Usage
1
lzy_impute(df, ..., indicate = TRUE)
Arguments
df
data frame
...
variable selections as per tidyselect
indicate
logical, whether or not to add missingness indicate. this indicator is a bad idea because missingness will likely be correlated with your outcome and you'll think your model is great when you've just given it the answer to start with. see Harrell Regression Modelling Strategies for details.
Value
data frame with mean imputed data and possibly missingness indicators
alexpghayes/hayeslib documentation built on May 5, 2019, 4:47 p.m.
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Description Usage Arguments Value
Description
For fast prototyping only!
Usage
1 | lzy_impute(df, ..., indicate = TRUE)
|
Arguments
df |
data frame |
... |
variable selections as per tidyselect |
indicate |
logical, whether or not to add missingness indicate. this indicator is a bad idea because missingness will likely be correlated with your outcome and you'll think your model is great when you've just given it the answer to start with. see Harrell Regression Modelling Strategies for details. |
Value
data frame with mean imputed data and possibly missingness indicators
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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