CHANGES in VERSION 1.8
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SIGNIFICANT USER-VISIBLE CHANGES
* flowClust is now Bayesian. You can specify a prior for the means and covariances of each component.
NEW FEATURES
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o FlowClust is now bayesian. The user can specify prior information for cell population means and covariances. This is particularly useful for identifying rare cell populations.
o We now check if the covariance matrices can be inverted and if not we stop the algorithm and output NaN for the log likelihood. As a consequence, the function does not stop and can finish all computable values of K.
o Support for the parallel package. The number of cores will automatically be detected. The parallel package needs to be loaded for that.
BUG FIXES