R: Statistical Matching Using Latent Class Models

# Statistical Matching Using Latent Class Models

## Documentation for package ‘statMatchLCM’ version 1.2

- DESCRIPTION file.

## 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