mdir

Integrative clustering and semi-supervised prediction. This package includes a 'C++' implementation of both semi-supervised and unsupervised Multiple Dataset Integration (MDI; Kirk et al., 2012 ), an extension of Bayesian mixture models to the integrative (multiple dataset or multi-modal) setting such as multi-omics analysis. The package also includes Bayesian mixture models. Densities allowed within MDI and the mixture model are Gaussian with full and diagonal covariance matrices, categorical, Gaussian with a Gaussian process (GP) prior on the mean parameter. The GP model implemented canonly handle data with common time points of equal separation. The Gaussian and GP models can be augmented with a global multivariate t distribution to handle outliers.