dbeta_dh: Derivative of overdispersion parameter of beta density.
In dcgerard/updogAlpha: Using Parental Data for Offspring Genotyping
Description
Usage
Arguments
Author(s)
Description
This calculates d/dh of BB(x|n, xi, h), where h = (1 - tau) / tau, so tau = 1 / (h + 1).
Usage
1
dbeta_dh(x, n, xi, h)
Arguments
x
The observed counts of reference allele.
n
The total number of observed counts.
xi
The mean proportion.
h
A parameterization of the overdispersion parameter.
This is just constrained to be greater than 0.
Author(s)
David Gerard
dcgerard/updogAlpha documentation built on May 14, 2019, 3:10 a.m.
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Description Usage Arguments Author(s)
Description
This calculates d/dh of BB(x|n, xi, h), where h = (1 - tau) / tau, so tau = 1 / (h + 1).
Usage
1 | dbeta_dh(x, n, xi, h)
|
Arguments
x |
The observed counts of reference allele. |
n |
The total number of observed counts. |
xi |
The mean proportion. |
h |
A parameterization of the overdispersion parameter. This is just constrained to be greater than 0. |
Author(s)
David Gerard
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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