pbetabinom: Cumulative beta-binomial probability distribution
In gerstung-lab/deepSNV: Detection of subclonal SNVs in deep sequencing data.
pbetabinom R Documentation
Cumulative beta-binomial probability distribution
Description
Cumulative beta-binomial probability distribution
Usage
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
gerstung-lab/deepSNV documentation built on June 3, 2022, 3:05 p.m.
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| pbetabinom | R Documentation |
Cumulative beta-binomial probability distribution
Description
Cumulative beta-binomial probability distribution
Usage
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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