betaparametw: Estimation of proportion weights

In NBBttest: Negative Binomial Beta t-Test

Estimation of proportion weights

Description

Function betaparametw is used to calculate weights.

Usage

betaparametw(xn, a, b)

Arguments

xn	a vector of m library sizes. Library size is sum of counts over the whole library.
a	parameter alpha(α) in beta distribution derived from output of function betaparametab.
b	parameter beta (β)in beta distribution derived from output of function betaparametab.

Details

alpha and beta (α,β) are used to calculate weight. Then weight is in turn used to correct bias of estimation of alpha and beta in betaparametab function.

Value

return weight(W).

Author(s)

Yuan-De Tan [e-mail]

References

Baggerly KA, Deng L, Morris JS, Aldaz CM (2003) Differential expression in SAGE: accounting for normal between-library variation. Bioinformatics, 19: 1477-1483.
Yuan-De Tan, Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson(2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis. Plos One. 2015 DOI: 10.1371/journal.pone.0123658.

See Also

betaparametab and betaparametVP.

Examples

XX<-c(2000,2000,2000)
a<-1.1458
b<-6.4932
betaparametw(xn=XX,a=a,b=b)

NBBttest documentation built on May 30, 2022, 1:05 a.m.