object.coda: Creating an mcmc.list for coda package
In bairt: Bayesian Analysis of Item Response Theory Models
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
The function object.coda create a mcmc.list object.
With this is possible to study the chain using the coda packet.
Usage
1
object.coda(mcmclist, ...)
Arguments
mcmclist
A mcmc.2pnob or mcmc.3pnob class object.
...
Further arguments.
Details
The function object.coda create a mcmc.list object of the
marginal chain selectionated. The marginal chain is splited in subchains
determined by parts. The aim is represent parallel chains with
different starting values (Beguin & Glas, 2001, p. 547).
Value
A mcmc.list coda packet object.
Author(s)
Javier Mart<c3><ad>nez
References
A.A. Beguin, A, A. & Glas, C.A.W. (2001). MCMC Estimation and Some
Model-Fit Analysis of Multidimensional IRT Models. Psychometrika,
66, 541-562.
See Also
as.mcmc.list and as.mcmc.
bairt documentation built on May 1, 2019, 10:56 p.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
The function object.coda create a mcmc.list object. With this is possible to study the chain using the coda packet.
Usage
1 | object.coda(mcmclist, ...)
|
Arguments
mcmclist |
A mcmc.2pnob or mcmc.3pnob class object. |
... |
Further arguments. |
Details
The function object.coda create a mcmc.list object of the marginal chain selectionated. The marginal chain is splited in subchains determined by parts. The aim is represent parallel chains with different starting values (Beguin & Glas, 2001, p. 547).
Value
A mcmc.list coda packet object.
Author(s)
Javier Mart<c3><ad>nez
References
A.A. Beguin, A, A. & Glas, C.A.W. (2001). MCMC Estimation and Some Model-Fit Analysis of Multidimensional IRT Models. Psychometrika, 66, 541-562.
See Also
as.mcmc.list and as.mcmc.
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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