Q_proportions: The function Q for the EM algorithm to estimate the...
In johannabertl/SelectionMix: Negative binomial mixture model
Description
Usage
Arguments
Author(s)
Description
This function is used by the function EM_proportions. The parameters alpha and beta are assumed to be known. The function negQ_proportions = -Q_proportions can be used for minimization.
Usage
1
Q_proportions(theta, theta.prime, x.non, alpha, beta, cvec)
Arguments
theta
c(p1, p2, ..., pk-1)
theta.prime
c(p1.prime, p2.prime, ..., p(k-1).prime)
x.non
vector of non-synonymous mutation count
cvec
vector of k positive values c(c1, ..., ck)
x.syn
vector of synonymous mutation count
Author(s)
Johanna Bertl
johannabertl/SelectionMix documentation built on May 3, 2019, 4:03 p.m.
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Description Usage Arguments Author(s)
Description
This function is used by the function EM_proportions. The parameters alpha and beta are assumed to be known. The function negQ_proportions = -Q_proportions can be used for minimization.
Usage
1 | Q_proportions(theta, theta.prime, x.non, alpha, beta, cvec)
|
Arguments
theta |
c(p1, p2, ..., pk-1) |
theta.prime |
c(p1.prime, p2.prime, ..., p(k-1).prime) |
x.non |
vector of non-synonymous mutation count |
cvec |
vector of k positive values c(c1, ..., ck) |
x.syn |
vector of synonymous mutation count |
Author(s)
Johanna Bertl
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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