run-extended

inst/CITATION

@@ -3,33 +3,31 @@ citHeader("To cite dynamite in publications use:")
 bibentry(
   key = "dynamitepaper",
   bibtype  = "Misc",
-  doi = "10.48550/ARXIV.2302.01607",
+  doi = "10.48550/arXiv.2302.01607",
   url = "https://arxiv.org/abs/2302.01607",
   author = c(person("Santtu", "Tikka"), person("Jouni", "Helske")),
   title = "dynamite: An R Package for Dynamic Multivariate Panel Models",
-  publisher = "arXiv",
   year = "2023"
 )
 bibentry(
   key = "dmpmpaper",
-  bibtype  = "Misc",
-  title    = "Estimating Causal Effects from Panel Data with Dynamic
+  bibtype = "Article",
+  title = "Estimating Causal Effects from Panel Data with Dynamic
     Multivariate Panel Models",
   author = c(person("Santtu", "Tikka"), person("Jouni", "Helske")),
-  publisher = "SocArxiv",
-  year     = "2022",
-  url      = "https://osf.io/preprints/socarxiv/mdwu5/"
+  journal = "Advances in Life Course Research",
+  volume = "60",
+  pages = "100617",
+  year = "2024",
+  doi = "10.1016/j.alcr.2024.100617"
 )
-
 bibentry(
   key = "dynamite",
-  bibtype  = "Manual",
-  title    = "Bayesian Modeling and Causal Inference for Multivariate
+  bibtype = "Manual",
+  title = "dynamite: Bayesian Modeling and Causal Inference for Multivariate
     Longitudinal Data",
   author = c(person("Santtu", "Tikka"), person("Jouni", "Helske")),
-  note  = "R package version 1.0.0",
-  year     = "2022",
-  url      = "https://github.com/ropensci/dynamite"
+  note = "R package version 1.5.1",
+  year = "2024",
+  url = "https://github.com/ropensci/dynamite"
 )
-
-

vignettes/dynamite_custom.Rmd

@@ -1,5 +1,5 @@
 ---
-title: "Customizing Stan code for dynamite"
+title: "Model customization and non-MCMC estimation with dynamite"
 link-citations: yes
 output:
   bookdown::html_document2:
@@ -8,7 +8,7 @@ pkgdown:
   as_is: true
 bibliography: dynamite.bib
 vignette: >
-  %\VignetteIndexEntry{Customizing Stan code for dynamite} 
+  %\VignetteIndexEntry{Model customization and non-MCMC estimation with dynamite} 
   %\VignetteEngine{knitr::rmarkdown} 
   %\VignetteEncoding{UTF-8}
 ---
@@ -126,7 +126,7 @@ Now the methods for `dynamitefit` objects such as `summary()` and `predict()` wo
 summary(fit_vb_dynamite, types = "beta")
 
 pp2 <- predict(
-  fit_vb_dynamite, newdata = newdata, new_levels = "gaussian", n_draws = 50
+  fit_vb_dynamite, newdata = newdata, new_levels = "original", n_draws = 50
 )
 
 ggplot2::ggplot(pp2, ggplot2::aes(time, y_new, group = .draw)) +