dirch_from_counts: Given a vector of counts for different categories in 1...n...
In rubias: Bayesian Inference from the Conditional Genetic Stock Identification Model
Description
Usage
Arguments
Details
Description
Takes a vector of counts for 1:n collections,
and returns a Dirichlet random variable generated by adding the prior to each
collection value, and simulating an alpha from a gamma distribution
with this shape parameter.
Usage
1
dirch_from_counts(C, lambda)
Arguments
C
a vector giving counts of categories
lambda
priors for the categories
Details
The categories are labeled in C from 1 up to n. n is the length of lambda,
which is a vector of priors. Note that all elements of lambda
must be strictly greater than 0.
rubias documentation built on Feb. 10, 2022, 1:06 a.m.
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Description Usage Arguments Details
Description
Takes a vector of counts for 1:n collections, and returns a Dirichlet random variable generated by adding the prior to each collection value, and simulating an alpha from a gamma distribution with this shape parameter.
Usage
1 | dirch_from_counts(C, lambda)
|
Arguments
C |
a vector giving counts of categories |
lambda |
priors for the categories |
Details
The categories are labeled in C from 1 up to n. n is the length of lambda,
which is a vector of priors. Note that all elements of lambda
must be strictly greater than 0.
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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