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Neural network conditional mixtures are mixture models whose parameters are predicted by a neural network. The mixture model can thus change its parameters in response to changes in predictive covariates. Mixtures included are gaussian, lognormal and hybrid Pareto mixtures. The latter relies on the generalized Pareto distribution to account for the presence of large extreme events. The unconditional mixtures are also available.
Package details 


Author  Julie Carreau 
Maintainer  Julie Carreau <julie.carreau@ird.fr> 
License  GPL2 
Version  1.1 
Package repository  View on CRAN 
Installation 
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