mcmcpars: mcmcpars function
In bentaylor1/lgcp: Log-Gaussian Cox Process
Description
Usage
Arguments
Value
See Also
Description
A function for setting MCMC options in a run of lgcpPredict for example.
Usage
1
Arguments
mala.length
default = 100,
burnin
default = floor(mala.length/2),
retain
thinning parameter eg operated on chain every 'retain' iteration (eg store output or compute some posterior functional)
inits
optional initial values for MCMC
adaptivescheme
the type of adaptive mcmc to use, see ?constanth (constant h) or ?andrieuthomsh (adaptive MCMC of Andrieu and Thoms (2008))
Value
mcmc parameters
See Also
lgcpPredict
bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.
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Description Usage Arguments Value See Also
Description
A function for setting MCMC options in a run of lgcpPredict for example.
Usage
1 |
Arguments
mala.length |
default = 100, |
burnin |
default = floor(mala.length/2), |
retain |
thinning parameter eg operated on chain every 'retain' iteration (eg store output or compute some posterior functional) |
inits |
optional initial values for MCMC |
adaptivescheme |
the type of adaptive mcmc to use, see ?constanth (constant h) or ?andrieuthomsh (adaptive MCMC of Andrieu and Thoms (2008)) |
Value
mcmc parameters
See Also
lgcpPredict
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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