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The priors matrix consists of a prior bias to be used in computation to mutual information between features.
# S4 method for mRMRe.Data priors(object) # S4 method for mRMRe.Data priors(object) <- value
a mRMRe.Data object.
mRMRe.Data
a numeric matrix containing values from 0 to 1 (or NA), one per pairwise feature bias.
# NOT RUN { set.thread.count(2) data(cgps) feature_data <- mRMR.data(data = data.frame(cgps.ge)) priors(feature_data) # }
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