Description Usage Arguments Value Author(s) References See Also Examples
Computing the Maximul Likelihood Entropy Estimate of cellCounts
.
1 2 | entropyBayes(cellCounts, unit = unit,
priorHyperParam = priorHyperParam)
|
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 |
priorHyperParam |
the prior distribution type for the Bayes estimation. One of |
The entropyBayes
function returns the value of the entropy of that gene
H(X)
(or pair of genes H(X,Y)
).
Luciano Garofano lucianogarofano88@gmail.com, Stefano Maria Pagnotta, Michele Ceccarelli
Jeffreys H. (1946). An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London, vol. 186 no. 1007 pp. 453-461.
Krichevsky R.E., Trofimov V.K. (1981). The performance of universal encoding. IEEE Transactions on Information Theory, vol. 27 pp. 199-207.
Holste D., Hertzel H. (1998). Bayes' estimators of generalized entropies. Journal of Physics A, vol. 31 pp. 2551-2566.
Perks W. (1947). Some observations on inverse probability including a new indifference rule. Journal of the Institute of Actuaries, vol. 73 pp. 285-334.
Schurmann T., Grassberg P. (1996). Entropy estimation of symbol sequences. Chaos, vol. 6 pp. 414-427.
Trybula S. (1958). Some problems of simultaneous minimax estimation. The Annals of Mathematical Statistics, vol. 29 pp. 245-253.
entropyML, entropyMM,
entropyCS, entropyShrink
1 2 3 4 5 6 7 | simData <- simulatedData(p = 50, n = 100, mu = 100, sigma = 0.25,
ppower = 0.73, noise = FALSE)
cellCounts <- table(simData$counts[1, ])
eBJ <- entropyBayes(cellCounts, unit = "nat", priorHyperParam = "Jeffreys")
eBB <- entropyBayes(cellCounts, unit = "nat", priorHyperParam = "BLUnif")
eBP <- entropyBayes(cellCounts, unit = "nat", priorHyperParam = "Perks")
eBM <- entropyBayes(cellCounts, unit = "nat", priorHyperParam = "MiniMax")
|
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