sequentialGfaPrediction {GFA}

Sequential prediction of new samples from observed data views to unobserved

Description

sequentialGfaPrediction returns predictions for unobserved data sources of a new set of data samples.

Usage

sequentialGfaPrediction(Y, model)

Arguments

Y

The new data samples, in a similar format as in function gfa

model

The sampled model from function gfa, with model$opts$predict being a logical vector with the length matching the length of Y, describing which data views will be predicted (TRUE), and which have been observed (FALSE).

Value

A list containing the predictions, with the observed data sources empty. Additionally, sampling MSE is given as element 'mse', and likelihood as 'cost'.