dbetabinom: Beta-binomial probability distribution
In gerstung-lab/deepSNV: Detection of subclonal SNVs in deep sequencing data.
dbetabinom R Documentation
Beta-binomial probability distribution
Description
Beta-binomial probability distribution
Usage
dbetabinom(x, n, mu, rho, log = FALSE)
Arguments
x
Counts
n
Size
mu
Probability
rho
Dispersion. rho in (0,1)
log
Return logarithmic values
Value
d
Author(s)
mg14
gerstung-lab/deepSNV documentation built on June 3, 2022, 3:05 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.
| dbetabinom | R Documentation |
Beta-binomial probability distribution
Description
Beta-binomial probability distribution
Usage
dbetabinom(x, n, mu, rho, log = FALSE)
Arguments
x |
Counts |
n |
Size |
mu |
Probability |
rho |
Dispersion. rho in (0,1) |
log |
Return logarithmic values |
Value
d
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.