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Merge the mcmc method in core.py, especially with or without sigma. The replication of multiple instructions in different methods is not acceptable.
One way to do is to set sigma2=None when not req…
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This
```
#' @export
coda::as.mcmc.list
```
gives
```
N checking S3 generic/method consistency (783ms)
Found the following apparent S3 methods exported but not registered:
as.mcmc…
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> State of the field: Do the authors describe how this software compares to other commonly-used packages?
The manuscript currently does not provide a sufficient description, comparison, and referen…
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In some methods, e.g.
```
setMethod("mcmc",
signature = signature(
data = "Data",
model = "LogisticIndepBeta",
options = "McmcOptions"
),
...
)
```
we us…
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Currently BayesianProblem is responsible for methods that act on classes like Posterior, JointDistribution etc.
I may be worthwhile to reconsider this approach and put the methods directly into Poste…
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#### Description
I have been using the `uncertainties` package for uncertainty propagation calculations and noticed that it currently only supports symmetric uncertainties. While values expressed a…
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Thermodynamic methods provide a way to estimate marginal likelihoods (aka model evidence) using MCMC, serving as an alternative to nested sampling methods.
Some related papers:
1. Friel, Nial, a…
yebai updated
4 years ago
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Hi, this is a great tool. Does it also work for multiple dimensions? (I need 3D and 4D)
If yes, can you provide a tutorial?
Thank you very much.
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### Presentation of the new sampler
Parallel tempering, known also as replica exchange MCMC, maintains $K$ Markov chains at different temperatures, ranging from $\pi_0$ (the reference distribut…
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See https://arxiv.org/pdf/1902.10142