pack {vabayelMix} | R Documentation |
For a data matrix, selects features with kurtosis values in a specified range. Optionally, it further selects features based on whether their profiles are mixtures of gaussians or not.
pack(data.m,kurt.range=c(-2,0),cluster=T,method=c("bic","vb"));
data.m |
Data matrix with features along the rows. |
kurt.range |
Desired range of kurtosis values. |
cluster |
Logical, to indicate whether additional cluster learning step is desired. |
method |
Character specifying model selection to be used (bic=EM-algorithm + BIC, vb=variational Bayesian + evidence bound). |
A list with the following components:
out |
Matrix with rows labeling selected features and columns labeling kurtosis, cluster size and index position in data.m |
class |
A list with non-null elements giving the clustering classification of the selected features. |
Andrew Teschendorff aet21@hutchison-mrc.cam.ac.uk