posterior: posterior
In PratheepaJ/BARBI: A Bayesian Approach to Contamination Removal in Molecular Microbial Studies
Description
Usage
Arguments
Value
Description
Posterior density function
Usage
1
posterior(lambda_r, k, al_c, be_c)
Arguments
lambda_r
numeric, true intensity.
k
numeric, observed count for a taxa in a sample.
al_c
numeric, estimated shape parameter for the contaminant intensity.
be_c
numeric, estimated scale parameter for the contaminant intensity.
Value
numeric, posterior density function for the true intensity (up to a constant)
PratheepaJ/BARBI documentation built on April 16, 2020, 11:51 a.m.
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Description Usage Arguments Value
Description
Posterior density function
Usage
1 | posterior(lambda_r, k, al_c, be_c)
|
Arguments
lambda_r |
numeric, true intensity. |
k |
numeric, observed count for a taxa in a sample. |
al_c |
numeric, estimated shape parameter for the contaminant intensity. |
be_c |
numeric, estimated scale parameter for the contaminant intensity. |
Value
numeric, posterior density function for the true intensity (up to a constant)
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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