that generates those NAs. 'missSBM', presented in 'Barbillon, Chiquet and Tabouy' (2022) <doi:10.18637/jss.v101.i12>,

Title: Self-Organizing Maps with Built-in Missing Data Imputation
comment = "Author of included functions from the 'kohonen' package"),
comment = "Author of included functions from the 'kohonen' package"))
Description: The Self-Organizing Maps with Built-in Missing Data Imputation. Missing values are imputed and regularly updated during the online Kohonen algorithm. Our method can be used for data visualisation, clustering or imputation of missing data. It is an extension of the online algorithm of the 'kohonen' package.
Ron Wehrens [cph] (Author of included functions from the 'kohonen'
Johannes Kruisselbrink [cph] (Author of included functions from the

Description: The Self-Organizing Maps with Built-in Missing Data Imputation. Missing values are imputed and regularly updated during the online Kohonen algorithm. Our method can be used for data visualisation, clustering or imputation of missing data. It is an extension of the online algorithm of the 'kohonen' package. The method is described
in the article "Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values" by S. Rejeb, C. Duveau, T. Rebafka (2022) <arXiv:2202.07963>.

Title: Missing Outcome Data in Health Economic Evaluation
Authors@R: person("Andrea", "Gabrio", email = "ucakgab@ucl.ac.uk", role = c("aut", "cre"))
Description: Contains a suite of functions for health economic evaluations with missing outcome data.
The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags').
Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models.
In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and summarise the statistical and economic results using different types of measures and graphs.
Imports: mcmcplots, ggmcmc, ggthemes, BCEA, ggplot2, grid, gridExtra,