binomialbcp.control: BB-BCP MCMC settings
In nfultz/binomialbcp: Beta-Binomial bayesian changepoint model
Description
This function makes autocomplete work for binomialbcp.
Usage
1
2
binomialbcp.control(mcmc.iterations = 100, mcmc.burnin = 50,
mcmc.thin = 5, verbose = 0)
Arguments
mcmc.iterations
number of iterations
mcmc.burnin
burnin samples
mcmc.thin
thining interval
verbose
if zero, no debug messages; if 1, once per mcmc step; if >1, log each Gibbs sample
nfultz/binomialbcp documentation built on May 23, 2019, 4:30 p.m.
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Description
This function makes autocomplete work for binomialbcp.
Usage
1 2 | binomialbcp.control(mcmc.iterations = 100, mcmc.burnin = 50,
mcmc.thin = 5, verbose = 0)
|
Arguments
mcmc.iterations |
number of iterations |
mcmc.burnin |
burnin samples |
mcmc.thin |
thining interval |
verbose |
if zero, no debug messages; if 1, once per mcmc step; if >1, log each Gibbs sample |
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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