Methods for Missing Data

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Documentation for package ‘missMethods’ version 0.4.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

apply_imputation	Apply a function for imputation
count_NA	Count the number of 'NA's
delete_MAR_1_to_x	Create MAR values using MAR1:x
delete_MAR_censoring	Create MAR values using a censoring mechanism
delete_MAR_one_group	Create MAR values by deleting values in one of two groups
delete_MAR_rank	Create MAR values using a ranking mechanism
delete_MCAR	Create MCAR values
delete_MNAR_1_to_x	Create MNAR values using MNAR1:x
delete_MNAR_censoring	Create MNAR values using a censoring mechanism
delete_MNAR_one_group	Create MNAR values by deleting values in one of two groups
delete_MNAR_rank	Create MNAR values using a ranking mechanism
evaluate_imputation_parameters	Evaluate estimated parameters after imputation
evaluate_imputed_values	Evaluate imputed values
evaluate_parameters	Evaluate estimated parameters
impute_EM	EM imputation
impute_expected_values	Impute expected values
impute_hot_deck_in_classes	Hot deck imputation in imputation classes
impute_in_classes	Impute in classes
impute_LS_adaptive	LSimpute_adaptive
impute_LS_array	LSimpute_array
impute_LS_combined	LSimpute_combined
impute_LS_gene	LSimpute_gene
impute_mean	Mean imputation
impute_median	Median imputation
impute_mode	Mode imputation
impute_sRHD	Simple random hot deck imputation
median.factor	Median for ordered factors