Description Usage Arguments Value References
View source: R/OneTestMultPopBMM.R
1 test and multiple population binomial mixture model to estimate herd prevalence and prevalence within positive herds.
1 2 | OneTestMultPopBMM(dataset, inits, priors, pars, n_iter = 10000,
n_chains = 3, burn_in = 1000, thin = 1)
|
dataset |
|
inits |
|
priors |
|
pars |
character vector giving the names of parameters to be monitored. It is passed to the |
thin |
thinning interval for monitors. It is passed to the |
n.chains |
the number of parallel chains for the model. It is passed to the |
burn.in |
the number of iteration to be discarded. It is passed to the |
n.iter |
number of iterations to monitor. It is passed to the |
A list
of class mcmc.list
.
https://dl.dropboxusercontent.com/u/49022/diagnostictests/index.html
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