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Merge branch 'master' into SMC-Merge
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BayesianTools/DESCRIPTION

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Title: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
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Version: 0.1.9
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Date: 2026-06-07
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Authors@R: c(person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre"), comment=c(ORCID="0000-0002-6255-9059")),
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person("Francesco", "Minunno", role = c("aut")),
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person("Stefan", " Paul", role = c("aut") ),
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person("David", "Cameron", role = "ctb"),
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person("Tankred", "Ott", role = "ctb"),
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person("Maximilian", "Pichler", role = "ctb"))
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Authors@R: c(person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre"), comment=c(ORCID="0000-0002-6255-9059")), person("Francesco", "Minunno", role = c("aut")), person("Stefan", " Paul", role = c("aut") ), person("David", "Cameron", role = "ctb"), person("Tankred", "Ott", role = "ctb"), person("Maximilian", "Pichler", role = "ctb"))
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Description: General-purpose MCMC and SMC samplers, as well as plots and
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diagnostic functions for Bayesian statistics, with a particular focus on
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calibrating complex system models. Implemented samplers include various
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bridgesampling
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Suggests:
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DEoptim,
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lhs,
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sensitivity,
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knitr,
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rmarkdown,

BayesianTools/inst/examples/createLikelihoodHelp.R

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# needs to return LOG! likelihood
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likelihood <- function(x) {
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LL = sum(dnorm(data, mean = x[1], sd = x[2], log = T))
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LL = sum(dnorm(data, mean = x[1], sd = x[2], log = TRUE))
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return(LL)
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}
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BayesianTools/man/createLikelihood.Rd

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