LilithF/doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning

Algorithms for (i) unsupervised learning for dataset with missing data and/or left-censored data, using multiple imputation and consensus clustering ; (ii) semi-supervised learning with a survival endpoint (right-censored) for complete or incomplete datasets, using multiple imputation and consensus clustering in the latter case. The methods are described in Faucheux et al. (2021) <doi:10.1002/bimj.201900366> and Faucheux et al. (2021) <doi:10.1002/bimj.202000365>, respectively.

install.packages("remotes")
remotes::install_github("LilithF/doMIsaul")