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Update citation in vignettes
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vignettes/graphical-ppcs.Rmd

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@@ -374,8 +374,8 @@ Gabry, J., and Goodrich, B. (2017). rstanarm: Bayesian Applied Regression
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Modeling via Stan. R package version 2.15.3.
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http://mc-stan.org/rstanarm, https://CRAN.R-project.org/package=rstanarm
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Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., Gelman, A. (2017).
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Visualization in Bayesian workflow. arXiv preprint
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Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., Gelman, A. (2018).
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Visualization in Bayesian workflow. _Journal of the Royal Statistical Society Series A_, accepted for publication. arXiv preprint:
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https://arxiv.org/abs/1709.01449
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Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and Rubin,

vignettes/plotting-mcmc-draws.Rmd

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@@ -344,8 +344,8 @@ Gabry, J., and Goodrich, B. (2017). rstanarm: Bayesian Applied Regression
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Modeling via Stan. R package version 2.15.3.
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http://mc-stan.org/rstanarm, https://CRAN.R-project.org/package=rstanarm
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Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., Gelman, A. (2017).
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Visualization in Bayesian workflow. arXiv preprint
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Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., Gelman, A. (2018).
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Visualization in Bayesian workflow. _Journal of the Royal Statistical Society Series A_, accepted for publication. arXiv preprint:
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https://arxiv.org/abs/1709.01449
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Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and

vignettes/visual-mcmc-diagnostics.Rmd

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@@ -466,7 +466,9 @@ mcmc_parcoord(posterior_cp, np = np_cp)
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In the plot above we can see the for the centered parameterization the divergences
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occur when $\tau$, the hierarchical standard deviation, goes to zero and
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the values of the $\theta$s are essentially fixed.
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the values of the $\theta$s are essentially fixed. See
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Gabry et al. (2018) for more another example of the parallel
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coordinates plot.
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#### mcmc_scatter
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)
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```
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See Gabry et al. (2018) for further discussion of this example.
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#### mcmc_pairs
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Finally, the `mcmc_pairs` function can be used also be used to look at the
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Modeling via Stan. R package version 2.15.3.
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http://mc-stan.org/rstanarm, https://CRAN.R-project.org/package=rstanarm
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Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., Gelman, A. (2017).
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Visualization in Bayesian workflow. arXiv preprint
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Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., Gelman, A. (2018).
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Visualization in Bayesian workflow. _Journal of the Royal Statistical Society Series A_, accepted for publication. arXiv preprint:
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https://arxiv.org/abs/1709.01449
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Gelman, A. and Rubin, D. B. (1992). Inference from iterative simulation using

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