This object is the result of running emAllFeatures function for data sets each containing the class column and the single feature. Generated using maxiter=1000, conv=.00001.
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A list object with four elements:
Matrix of estimated class proportions (cols) for each feature (rows)
Vector of MSEs for each feature, for estimated props. vs unknown props.
Vector of number of iterations to EM convergence for each feature.
List of vectors of log-likelihood functions for each feature..
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