Multiple Imputation of Big Data

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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