R: Multiple Imputation of Big Data

# Multiple Imputation of Big Data

## Documentation for package ‘bigMICE’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

impute_with_linear_regression | Linear Regression Imputation function
impute_with_logistic_regression | Logistic Regression Imputation function
impute_with_MeMoMe | Mean/Mode/Median Imputation function
impute_with_mult_logistic_regression | Multinomial Logistic Regression Imputation function
impute_with_random_forest_classifier | Random Forest Classification Imputation function
impute_with_random_forest_regressor | Random Forest Regression Imputation function
impute_with_random_samples | Random Sample Imputation function
init_with_random_samples | Random Sample Imputation function
mice.spark | MICE for Spark DataFrames using Sparklyr and Spark MLlib
mice.spark.plus | MICE+ for Spark DataFrames using Sparklyr and Spark MLlib
print.mi_results | Print Method for Multiple Imputation Results
sampler.spark | MICE sampler function
summary.mi_results | Summary Method for Multiple Imputation Results