dbeta_deps: Derivative of beta density w.r.t. sequencing error rate.
In dcgerard/updogAlpha: Using Parental Data for Offspring Genotyping
Description
Usage
Arguments
Author(s)
Description
I use the chain rule here. dbeta_dprop * dxi_df *
df_deps.
Usage
1
dbeta_deps(x, n, d, eps, p, tau)
Arguments
x
The number of counts of reference allele.
n
The number of counts of reads.
d
The sequencing bias parameter.
eps
The sequencing error rate
p
The proportion of genome that is the reference allele.
tau
The overdisperion parameter.
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
I use the chain rule here. dbeta_dprop * dxi_df *
df_deps.
Usage
1 | dbeta_deps(x, n, d, eps, p, tau)
|
Arguments
x |
The number of counts of reference allele. |
n |
The number of counts of reads. |
d |
The sequencing bias parameter. |
eps |
The sequencing error rate |
p |
The proportion of genome that is the reference allele. |
tau |
The overdisperion parameter. |
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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