marginalM2CalcBLOH: Marginal M2 Calculation
In USCDTG/tLOH: Assessment of evidence for LOH in spatial transcriptomics pre-processed data using Bayes factor calculations
marginalM2CalcBLOH R Documentation
Marginal M2 Calculation
Description
Calculation of the marginal for Model 2
Usage
marginalM2CalcBLOH(x, a, b)
Arguments
x
Counts for the reference allele
a
Alpha value
b
Beta value
Value
The value returned from marginalM2CalcBLOH is numeric
Author(s)
Michelle Webb
Examples
test <- data.frame(REF=c(10,2,3,4,5,10),TOTAL=c(20,20,20,20,20,20))
apply(test, MARGIN = 1, FUN = marginalM2CalcBLOH, a = 10,b = 10)
USCDTG/tLOH documentation built on Oct. 23, 2022, 8:05 p.m.
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| marginalM2CalcBLOH | R Documentation |
Marginal M2 Calculation
Description
Calculation of the marginal for Model 2
Usage
marginalM2CalcBLOH(x, a, b)
Arguments
x |
Counts for the reference allele |
a |
Alpha value |
b |
Beta value |
Value
The value returned from marginalM2CalcBLOH is numeric
Author(s)
Michelle Webb
Examples
test <- data.frame(REF=c(10,2,3,4,5,10),TOTAL=c(20,20,20,20,20,20)) apply(test, MARGIN = 1, FUN = marginalM2CalcBLOH, a = 10,b = 10)
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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