Installation
About
These routines create multiple imputations of missing at random categorical data, and create multiply imputed synthesis of categorical data, with or without structural zeros. Imputations and syntheses are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling, described in Manrique-Vallier and Reiter (2014) doi:10.1080/10618600.2013.844700.
Key Metrics
Downloads
Yesterday | 11 0% |
Last 7 days | 66 -11% |
Last 30 days | 240 +9% |
Last 90 days | 679 -24% |
Last 365 days | 2.956 -27% |