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View Code? Open in Web Editor NEWR package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).
License: GNU General Public License v2.0
R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).
License: GNU General Public License v2.0
I am publishing on CRAN an R-package that calls the MCMC() function during the tests. I got a warning from CRAN that the progress bars should appear only in interactive sessions. Is it possible to hide this progress bar with the current version or is it possible to release a new adaptMCMC version which has a showProgressBar argument in the function MCMC()?
Dear Andreas,
I'd like to cite the package in a publication (and this is quite urgent, because I have to submit the revised article proof today). Calling citation("adaptMCMC") in R returns an error:
citation("adaptMCMC")
Error in if (!is.null(family) && !is.na(match(family, c(jr, tolower(jr))))) { :
missing value where TRUE/FALSE needed
traceback()
11: FUN(X[[i]], ...)
10: lapply(x, as_person1)
9: do.call("c", lapply(x, as_person1))
8: as.list(do.call("c", lapply(x, as_person1)))
7: as.person.default(X[[i]], ...)
6: FUN(X[[i]], ...)
5: lapply(x, as.person)
4: do.call("c", lapply(x, as.person))
3: as.personList.default(meta$Author)
2: as.personList(meta$Author)
1: citation("adaptMCMC")
For my analysis, I've mostly used version 1.1 of the package, so I am citing this version in my article. Is it possible to give the following reference:
Andreas Scheidegger (2012).
adaptMCMC: adaptive Monte Carlo Markov Chain sampler with coerced acceptance rate. R package version 1.1.
https://CRAN.R-project.org/package=adaptMCMC
A BibTeX entry for LaTeX users is
@Manual{,
title = {adaptMCMC: adaptive Monte Carlo Markov Chain sampler with coerced acceptance rate},
author = {Andreas Scheidegger},
year = {2012},
note = {R package version 1.1},
url = {https://CRAN.R-project.org/package=adaptMCMC}
}
Steven Smit:
Itβd be a nice (small) feature to allow one to use MCMC.add.samples
and change the adaptation settings (for example turning them off).
gamma == 0.5
should not be allowed
Dear Andreas,
Will it be possible to display a progress bar when using the MCMC parallel. I have an intense function for computing likelihood. It would be nice if progress bar can be shown
Thanks,
Arnab
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