as.initial.values: Initial Values
In ecbrown/LaplacesDemon: Complete Environment for Bayesian Inference
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
This function returns the most recent posterior samples from an object
of class demonoid or demonoid.hpc, the posterior means
of an object of class iterquad, the posterior modes of an
object of class laplace or vb, the posterior means of an
object of class pmc with one mixture component, or the latest
means of the importance sampling distribution of an object of class
pmc with multiple mixture components. The returned values are
intended to be the initial values for future updates.
Usage
1
Arguments
x
This is an object of class demonoid,
demonoid.hpc, iterquad, laplace, pmc, or
vb.
Details
Unless it is known beforehand how many iterations are required for
IterativeQuadrature, LaplaceApproximation,
or VariationalBayes to converge, MCMC in
LaplacesDemon to appear converged, or the normalized
perplexity to stabilize in PMC, multiple updates are
necessary. An additional update, however, should not begin with the
same initial values as the original update, because it will have to
repeat the work already accomplished. For this reason, the
as.initial.values function may be used at the end of an update
to change the previous initial values to the latest values.
When using LaplacesDemon.hpc, as.initial.values
should be used when the output is of class demonoid.hpc, before
the Combine function is used to combine the multiple
chains for use with Consort and other functions, because
the Combine function returns an object of class
demonoid, and the number of chains will become unknown. The
Consort function may suggest using
as.initial.values, but when applied to an object of class
demonoid, it will return the latest values as if there were
only one chain.
Value
The returned value is a vector (or matrix in the case of an object of
class demonoid.hpc, or pmc with multiple mixture
components) of the latest values, which may now be used as initial
values for a future update.
Author(s)
Statisticat, LLC. software@bayesian-inference.com
See Also
Combine,
IterativeQuadrature,
LaplaceApproximation,
LaplacesDemon,
LaplacesDemon.hpc,
PMC, and
VariationalBayes.
ecbrown/LaplacesDemon documentation built on May 15, 2019, 7:48 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
This function returns the most recent posterior samples from an object
of class demonoid or demonoid.hpc, the posterior means
of an object of class iterquad, the posterior modes of an
object of class laplace or vb, the posterior means of an
object of class pmc with one mixture component, or the latest
means of the importance sampling distribution of an object of class
pmc with multiple mixture components. The returned values are
intended to be the initial values for future updates.
Usage
1 |
Arguments
x |
This is an object of class |
Details
Unless it is known beforehand how many iterations are required for
IterativeQuadrature, LaplaceApproximation,
or VariationalBayes to converge, MCMC in
LaplacesDemon to appear converged, or the normalized
perplexity to stabilize in PMC, multiple updates are
necessary. An additional update, however, should not begin with the
same initial values as the original update, because it will have to
repeat the work already accomplished. For this reason, the
as.initial.values function may be used at the end of an update
to change the previous initial values to the latest values.
When using LaplacesDemon.hpc, as.initial.values
should be used when the output is of class demonoid.hpc, before
the Combine function is used to combine the multiple
chains for use with Consort and other functions, because
the Combine function returns an object of class
demonoid, and the number of chains will become unknown. The
Consort function may suggest using
as.initial.values, but when applied to an object of class
demonoid, it will return the latest values as if there were
only one chain.
Value
The returned value is a vector (or matrix in the case of an object of
class demonoid.hpc, or pmc with multiple mixture
components) of the latest values, which may now be used as initial
values for a future update.
Author(s)
Statisticat, LLC. software@bayesian-inference.com
See Also
Combine,
IterativeQuadrature,
LaplaceApproximation,
LaplacesDemon,
LaplacesDemon.hpc,
PMC, and
VariationalBayes.
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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