30 sept. 2020 · Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of ...
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30 sept. 2020 · September 30, 2020. Version 0.19-4. Date 2020-09-30.
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Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the ...
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30 sept. 2020 · Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of ...
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coda: Output Analysis and Diagnostics for MCMC ; bugs2jags, Convert WinBUGS data file to JAGS data file ; codamenu, Main menu driver for the coda package ; coda.
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exclamation: This is a read-only mirror of the CRAN R package repository. coda — Output Analysis and Diagnostics for MCMC - GitHub - cran/coda: This is a ...
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16 mars 2022 · A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982)
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29 août 2010 · This is a follow up to my recent post introducing the use of JAGS in R through the rjags package. In the comments on that post, ...
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Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to ...
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9 déc. 2011 · What's the sense of this line? Well, coda is an R package that provides a number of standard functions for plotting and analysis of the ...
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coda is a popular R package that is available at https://cran.r-project.org/web/packages/coda/index.html. By citing R packages in your paper you lay the ...
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of the coda package for further analyses of the output. Examples are given to demonstrate the usage of this package. Keywords: R, OpenBUGS, interface, MCMC.
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Geweke (1992) suggested a diagnostic test for checking the convergence of the mean of ... After downloading, installing, and loading the CODA package in R, ...
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If you use R and have downloaded and installed the CODA package, you need to attach it. > library(coda) and then invoke CODA with the command. > codamenu().
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We will use the coda library for MCMC diagnostics # You need to have run the MCMC from ... The following is a really clever function that prevents double ...
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