pbetabinom: Cumulative beta-binomial probability distribution
In deepSNV: Detection of subclonal SNVs in deep sequencing data.
Description
Usage
Arguments
Value
Author(s)
Description
Cumulative beta-binomial probability distribution
Usage
1
pbetabinom(x, n, mu, rho, log = FALSE)
Arguments
x
Counts
n
Sample size
mu
Probability
rho
Dispersion. rho in (0,1)
log
Return logarithmic values
Value
Probability
Author(s)
mg14
deepSNV documentation built on Nov. 8, 2020, 8:01 p.m.
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Description Usage Arguments Value Author(s)
Description
Cumulative beta-binomial probability distribution
Usage
1 | pbetabinom(x, n, mu, rho, log = FALSE)
|
Arguments
x |
Counts |
n |
Sample size |
mu |
Probability |
rho |
Dispersion. rho in (0,1) |
log |
Return logarithmic values |
Value
Probability
Author(s)
mg14
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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