update paper citation after publication, regenerate doc

Author: jgabry

DESCRIPTION

@@ -42,6 +42,6 @@ Suggests:
     shinystan (>= 2.3.0),
     testthat (>= 2.0.0),
     vdiffr
-RoxygenNote: 6.1.0
+RoxygenNote: 6.1.1
 VignetteBuilder: knitr
 Encoding: UTF-8

R/ppc-loo.R

@@ -27,7 +27,7 @@
 #'  The calibration of marginal predictions can be assessed using probability
 #'  integral transformation (PIT) checks. LOO improves the check by avoiding the
 #'  double use of data. See the section on marginal predictive checks in Gelman
-#'  et al. (2013, p. 152--153) and section 5 of Gabry et al. (2018) for an
+#'  et al. (2013, p. 152--153) and section 5 of Gabry et al. (2019) for an
 #'  example of using \pkg{bayesplot} for these checks.
 #'
 #'  The LOO PIT values are asymptotically uniform (for continuous data) if the

inst/CITATION

@@ -0,0 +1,29 @@
+year <- sub("-.*", "", meta$Date)
+note <- sprintf("R package version %s", meta$Version)
+
+bibentry(bibtype = "Misc",
+         title = "bayesplot: Plotting for Bayesian Models",
+         author = c(person("Jonah", "Gabry"),
+                    person("Tristan", "Mahr")
+                    ),
+         year = year,
+         note = note,
+         url = c("mc-stan.org/bayesplot, CRAN.R-project.org/package=loo"),
+         header = "To cite the bayesplot R package:"
+)
+
+bibentry(bibtype = "Article",
+         title = "Visualization in Bayesian workflow",
+         author = c(person("Jonah", "Gabry"),
+                    person("Daniel", "Simpson"),
+                    person("Aki", "Vehtari"),
+                    person("Michael", "Betancourt"),
+                    person("Andrew", "Gelman")),
+         year = "2019",
+         journal = "J. R. Stat. Soc. A",
+         volume = 182,
+         issue = 2,
+         pages = "389-402",
+         doi = "10.1111/rssa.12378",
+         header = "To cite the 'Visualization in Bayesian workflow' paper:"
+)

man-roxygen/reference-vis-paper.R

@@ -1,4 +1,5 @@
-#' @references Gabry, J., Simpson, D., Vehtari, A., Betancourt, M., and Gelman,
-#'   A. (2018). Visualization in Bayesian workflow. \emph{Journal of the Royal
-#'   Statistical Society Series A}, accepted for publication. arXiv preprint:
-#'   \url{http://arxiv.org/abs/1709.01449}.
+#' @references Gabry, J. , Simpson, D. , Vehtari, A. , Betancourt, M. and
+#'   Gelman, A. (2019), Visualization in Bayesian workflow. \emph{J. R. Stat.
+#'   Soc. A}, 182: 389-402. doi:10.1111/rssa.12378,
+#'   (\href{https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12378}{journal},
+#'   \href{https://arxiv.org/abs/1709.01449}{arXiv preprint})