Statistical Matching Using Latent Class Models

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Documentation for package ‘statMatchLCM’ version 1.2

Help Pages

datA Dataset datA
datAB_to_SM Create stacked A/B dataset for MDC
datB Dataset datB
fact_to_num Convert factor/character variables to numeric with mapping
num_to_fact Convert numeric codes back to factor
sma1_step2 SMA1 – Nearest-neighbour hot deck on shared variables
sma2_step2 SMA2 – Hot deck on fitted multinomial probabilities
sma3_step2 SMA3 – Multinomial simulation approach
sma_step1 SMA step 1: selection of best imputed dataset
smc1_step2 SMC1 - Nearest-neighbour hot deck on original variables
smc2_step2 SMC2 – Hot deck on fitted multinomial probabilities
smc3_step2 SMC3 – Multinomial simulation approach
smc_step1 SMC step 1: selection of best imputed dataset
sm_quality Quality assessment of synthetic Z1