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General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

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just noted that the SMC has a very rudimentary summary function. I would merge the SMC summary with the MCMC summary, just dropping the few things that can't be calculated...

I just noticed that the SMC is called SMC in the options, but the function is called smcSampler, which is not the naming convention for the other samplers. Any objections...

check out https://arxiv.org/abs/1603.03141

related to https://github.com/florianhartig/BayesianTools/issues/137, it ocurred to me that it would be good to have extra help files for the most important samplers, maybe one for the DE / DREAM family,...

I'm new to BayesianTools. I want to have a prior that combines two uniform distributions with a number k of Laplace distributions, where k can change from run to run....

question

http://enpiar.com/2017/11/21/getting-down-with-pkgdown/

Create / consider interfaces to https://r-nimble.org * Should be relatively easy to include nimble outputs in getSample so that plotting can be used * Check if Nimble models can be...

For various reasons (debugging, posterior predictive distributions), one may want to record additional calculations during MCMC execution. Currently, there is no option in BT to support this. We plan to...

enhancement

In case the prior sampler is not provided in the BayesianSetup, but density and min / max values are provided, we could use the smc to rejection-sample from the prior....

I am interested in functionality that would allow users to combine different samplers using different parameter subsets. My specific use case is that some of my parameters have a conjugate...

enhancement