dbetabinom_mu_rho: beta-binomial density function in terms of mean and...
In dcgerard/updogAlpha: Using Parental Data for Offspring Genotyping
Description
beta-binomial density function in terms of mean and correlation.
Usage
1
dbetabinom_mu_rho(x, size, mu, rho, log = FALSE)
Arguments
x
The observed counts.
size
The number of trials.
mu
The mean proportion. Equivalent to alpha / (alpha + beta) in dbetabinom.
rho
The correlation/overdispersion parameter.
Equivalent to 1 / (1 + alpha + beta) in dbetabinom.
log
A logical. Should we return the log of the density
(TRUE) or not (FALSE)?
dcgerard/updogAlpha documentation built on May 14, 2019, 3:10 a.m.
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Description
beta-binomial density function in terms of mean and correlation.
Usage
1 | dbetabinom_mu_rho(x, size, mu, rho, log = FALSE)
|
Arguments
x |
The observed counts. |
size |
The number of trials. |
mu |
The mean proportion. Equivalent to |
rho |
The correlation/overdispersion parameter.
Equivalent to |
log |
A logical. Should we return the log of the density
( |
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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