Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/commonCondLogLikDerDelta.R
Common conditional log-likelihood parameterized in terms of delta (phi / (phi+1)
)
1 | commonCondLogLikDerDelta(y, delta, der = 0)
|
y |
list with elements comprising the matrices of count data (or pseudocounts) for the different groups |
delta |
delta ( |
der |
derivative, either 0 (the function), 1 (first derivative) or 2 (second derivative) |
The common conditional log-likelihood is constructed by summing over all of the individual genewise conditional log-likelihoods. The common conditional log-likelihood is taken as a function of the dispersion parameter (phi
), and here parameterized in terms of delta (phi / (phi+1)
). The value of delta that maximizes the common conditional log-likelihood is converted back to the phi
scale, and this value is the estimate of the common dispersion parameter used by all genes.
numeric scalar of function/derivative evaluated at given delta
Davis McCarthy
estimateCommonDisp
is the user-level function for estimating the common dispersion parameter.
1 2 3 4 5 | counts<-matrix(rnbinom(20,size=1,mu=10),nrow=5)
d<-DGEList(counts=counts,group=rep(1:2,each=2),lib.size=rep(c(1000:1001),2))
y<-splitIntoGroups(d)
ll1<-commonCondLogLikDerDelta(y,delta=0.5,der=0)
ll2<-commonCondLogLikDerDelta(y,delta=0.5,der=1)
|
Loading required package: limma
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