| impute {lares} | R Documentation |
Impute Missing Values (using MICE)
Description
This function uses the MICE methodology to impute missing values.
Usage
impute(df, m = 5, iters = 5, seed = 0, quiet = FALSE)
Arguments
df |
Dataframe. Dataframe to transform. |
m |
Integer. Number of multiple imputations. |
iters |
Integer. Number of iterations. |
seed |
Integer. Set a seed for reproducibility. |
quiet |
Boolean. Keep quiet? (or print replacements). |
Value
data.frame with imputed values.
See Also
Other Data Wrangling:
balance_data(),
categ_reducer(),
cleanText(),
date_cuts(),
date_feats(),
file_name(),
formatHTML(),
holidays(),
left(),
normalize(),
num_abbr(),
ohe_commas(),
ohse(),
quants(),
removenacols(),
replaceall(),
replacefactor(),
textFeats(),
textTokenizer(),
vector2text(),
year_month(),
zerovar()
Other Machine Learning:
ROC(),
conf_mat(),
export_results(),
gain_lift(),
h2o_automl(),
h2o_predict_MOJO(),
h2o_selectmodel(),
iter_seeds(),
lasso_vars(),
model_metrics(),
model_preprocess(),
msplit()
Other Missing Values:
missingness()