entropyMM: Miller-Madow corrected Entropy Estimate

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/entropyMM.R

Description

Computing the Miller-Madow corrected Entropy Estimate of cellCounts.

Usage

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entropyMM(cellCounts, unit = unit)

Arguments

cellCounts

an integer vector (or matrix) representing the number of times each particular count is obtained.

unit

the unit in which entropy is measured. One of "bit" (log2, default), "ban" (log10) or "nat" (natural units).

Value

The entropyMM function returns the value of the entropy of that gene H(X) (or pair of genes H(X,Y)).

Author(s)

Luciano Garofano [email protected], Stefano Maria Pagnotta, Michele Ceccarelli

References

Miller G.A. (1955). Note on the bias of information estimates. Information Theory in Psychology, II-B pp. 95-100.

See Also

entropyML, entropyBayes, entropyCS, entropyShrink

Examples

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simData <- simulatedData(p = 50, n = 100, mu = 100, sigma = 0.25,
                        ppower = 0.73, noise = FALSE)
cellCounts <- table(simData$counts[1, ])
eMM <- entropyMM(cellCounts, unit = "nat")

lucgar/synRNASeqNet documentation built on May 21, 2017, 3:39 p.m.