MH_MCMC: MH_MCMC
In PratheepaJ/BARBI: A Bayesian Approach to Contamination Removal in Molecular Microbial Studies
Description
Usage
Arguments
Value
Description
Metropolis Hastings MCMC
Usage
1
MH_MCMC(itera, k, al_c, be_c, startvalue_lamda_r = 0)
Arguments
itera
numeric, number of MCMC samples.
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.
startvalue_lamda_r
numeric, initial value for the true intensity.
Value
An array of MCMC samples.
PratheepaJ/BARBI documentation built on April 16, 2020, 11:51 a.m.
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Description Usage Arguments Value
Description
Metropolis Hastings MCMC
Usage
1 | MH_MCMC(itera, k, al_c, be_c, startvalue_lamda_r = 0)
|
Arguments
itera |
numeric, number of MCMC samples. |
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. |
startvalue_lamda_r |
numeric, initial value for the true intensity. |
Value
An array of MCMC samples.
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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