simulate.dream: Simulate values from a distribution using converged MCMC...
In dream: DiffeRential Evolution Adaptive Metropolis
Description
Usage
Arguments
Value
Description
Continues a converged MCMC chain to provide an additional
sample.
Outlier detection, reporting and convergence diagnostics are
turned off.
If no thinning was previously used, the sample is thinned with t=10. This value can be overridden by specifying a value for thin.t in the control parameter to dream.
Usage
1
2
Arguments
object
dream object
nsim
Approximate number of function evaluations (length of
sequence will be lower due to thinning)
seed
passed to set.seed before continuing
...
ignored, for compatibility with S3 generic
Value
a dream object with approximately the requested number of function evaluations
dream documentation built on May 2, 2019, 5:21 p.m.
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Description Usage Arguments Value
Description
Continues a converged MCMC chain to provide an additional sample.
Outlier detection, reporting and convergence diagnostics are turned off.
If no thinning was previously used, the sample is thinned with t=10. This value can be overridden by specifying a value for thin.t in the control parameter to dream.
Usage
1 2 |
Arguments
object |
|
nsim |
Approximate number of function evaluations (length of sequence will be lower due to thinning) |
seed |
passed to |
... |
ignored, for compatibility with S3 generic |
Value
a dream object with approximately the requested number of function evaluations
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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