jomo swMATH ID: 19482 Software Authors: Matteo Quartagno, James Carpenter Description: R package jomo: Multilevel Joint Modelling Multiple Imputation. Similarly to Schafer’s package ’pan’, ’jomo’ is a package for multilevel joint modelling multiple imputation. Novel aspects of ’jomo’ are the possibility of handling binary and categorical data through latent normal variables and the option to use cluster-specific covariance matrices. Homepage: https://cran.r-project.org/web/packages/jomo/index.html Source Code: https://github.com/cran/jomo Dependencies: R Related Software: MICE; R; pan; mi; REALCOM; missMDA; Stata; SAS; CODA; SPSS; lme4; survival; VIM; naniar; MCMCglmm; hmi; miceadds; micemd; norm; missForest Cited in: 5 Documents Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Multiple imputation for discrete data: evaluation of the joint latent normal model. Zbl 1429.62595Quartagno, Matteo; Carpenter, James R. 2019 all top 5 Cited by 16 Authors 2 Husson, François 2 Josse, Julie 2 Quartagno, Matteo 1 Audigier, Vincent 1 Ayieko, Philip 1 Carpenter, James R. 1 English, Mike 1 Gachau, Susan 1 Imbert, Alyssa 1 Mwaniki, Paul 1 Narasimhan, Balasubramanian 1 Njagi, Edmund Njeru 1 Owuor, Nelson 1 Robin, Geneviève 1 Sarguta, Rachel 1 Vialaneix, Nathalie Cited in 5 Serials 1 Biometrical Journal 1 Journal of Applied Statistics 1 Journal of Computational and Graphical Statistics 1 Journal de la Société Française de Statistique 1 Statistics and Computing Cited in 1 Field 5 Statistics (62-XX) Citations by Year