Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi: 10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
copied from cf-staging / r-jomo
conda install conda-forge::r-jomoconda install conda-forge/label/cf201901::r-jomoconda install conda-forge/label/cf202003::r-jomoconda install conda-forge/label/gcc7::r-jomo