pbetabinom: Cumulative beta-binomial probability distribution
In mg14/deepSNV-old: 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
mg14/deepSNV-old documentation built on May 22, 2019, 8:52 p.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.