MixBetaBinomialFit: MixBetaBinomialFit
In gimelbrantlab/QCumber: Detects differential allelic imbalance from RNA-seq data
Description
Usage
Arguments
Value
View source: R/MixBetaBinomialFit.R
Description
Fitting beta-binomial mixture distribution of AI in particular bin.
Usage
1
MixBetaBinomialFit(initials, coverage, observations)
Arguments
initials
Initials for EM algm: initials = c(w1, alpha1, alpha2), weight of first component and alphas for both beta-binomial distributions in a mixture
coverage
A number, that represents the coverage bin
observations
A vector of "maternal counts" in the bin
Value
Fitted weight of first component and alphas for both beta-binomial distributions in a mixture, plus number of steps.
gimelbrantlab/QCumber documentation built on Feb. 26, 2020, 6:17 p.m.
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Description Usage Arguments Value
View source: R/MixBetaBinomialFit.R
Description
Fitting beta-binomial mixture distribution of AI in particular bin.
Usage
1 | MixBetaBinomialFit(initials, coverage, observations)
|
Arguments
initials |
Initials for EM algm: initials = c(w1, alpha1, alpha2), weight of first component and alphas for both beta-binomial distributions in a mixture |
coverage |
A number, that represents the coverage bin |
observations |
A vector of "maternal counts" in the bin |
Value
Fitted weight of first component and alphas for both beta-binomial distributions in a mixture, plus number of steps.
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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