runmcmc: runmcmc
In SVA-SE/kilde: A package to perform Bayesian source attribution of Campylobacter in R
Description
Usage
Arguments
Value
Author(s)
Description
A method to run the mcmc in R
Usage
1
runmcmc(result, ob, MCMC, h = 0, FULL = 0)
Arguments
result
An object from the initialize mcmc function
ob
An object from the dataformatting function
MCMC
the number of iterations (Same as the initialize mcmc
function used)
h
A control parameter (for avoiding very small values of q
~Dirich, maybe never needed)
FULL
Choose 1 for full Bayesian model (semi-supervised),
but Choose 0 for separated estimation (supervised) of relative
type frequencies
Value
A list of objects to be passed onto the plot function
Author(s)
Jukka Ranta
SVA-SE/kilde documentation built on May 9, 2019, 11:44 a.m.
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Description Usage Arguments Value Author(s)
Description
A method to run the mcmc in R
Usage
1 | runmcmc(result, ob, MCMC, h = 0, FULL = 0)
|
Arguments
result |
An object from the initialize mcmc function |
ob |
An object from the dataformatting function |
MCMC |
the number of iterations (Same as the initialize mcmc function used) |
h |
A control parameter (for avoiding very small values of q ~Dirich, maybe never needed) |
FULL |
Choose 1 for full Bayesian model (semi-supervised), but Choose 0 for separated estimation (supervised) of relative type frequencies |
Value
A list of objects to be passed onto the plot function
Author(s)
Jukka Ranta
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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