fix missing fig in index

nicholasjclark · Nov 28, 2024 · 3e88a89 · 3e88a89
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Showing 3 changed files with 17 additions and 7 deletions.
diff --git a/docs/index.html b/docs/index.html
diff --git a/index.Rmd b/index.Rmd
@@ -54,10 +54,11 @@ data <- sim_mvgam(family = betar(),
 ```
 
 Plot the series to see how they evolve over time
-```{r}
+```{r, eval = FALSE}
 plot_mvgam_series(data = data$data_train, series = 'all')
 ```
 
+![Visualizing multivariate proportional time series using the mvgam R  package #rstats](man/figures/README-beta_sim-1.png)
 
 Fit a State-Space GAM to these series that uses a hierarchical cyclic seasonal smooth term to capture variation in seasonality among series. The model also includes series-specific latent Gaussian Processes with squared exponential covariance functions to capture temporal dynamics
 ```{r, eval = FALSE}
@@ -94,7 +95,7 @@ A number of case studies have been compiled to highlight how GAMs and DGAMs can
 * [Distributed lags (and hierarchical distributed lags) using mgcv and mvgam](https://ecogambler.netlify.app/blog/distributed-lags-mgcv/){target="_blank"}
 * [Incorporating time-varying seasonality in forecast models](https://ecogambler.netlify.app/blog/time-varying-seasonality/){target="_blank"}
 
-Please also feel free to use the [`mvgam` Discussion Board](https://github.com/nicholasjclark/mvgam/discussions) to hunt for or post other discussion topics related to the package.
+Please also feel free to use the [`mvgam` Discussion Board](https://github.com/nicholasjclark/mvgam/discussions) to hunt for or post other discussion topics related to the package, and do check out the [`mvgam` changelog](https://nicholasjclark.github.io/mvgam/news/index.html) for any updates about recent upgrades that the package has incorporated.
 
 ## Interested in contributing?
 I'm actively seeking PhD students and other researchers to work in the areas of ecological forecasting, multivariate model evaluation and development of `mvgam`. Please reach out if you are interested (n.clark'at'uq.edu.au). Other contributions are also very welcome, but please see [The Contributor Instructions](https://github.com/nicholasjclark/mvgam/blob/master/.github/CONTRIBUTING.md) for general guidelines. Note that

diff --git a/index.md b/index.md
@@ -106,7 +106,12 @@ Plot the series to see how they evolve over time
 plot_mvgam_series(data = data$data_train, series = 'all')
 ```
 
-![](index_files/figure-gfm/unnamed-chunk-4-1.png)<!-- -->
+<figure>
+<img src="man/figures/README-beta_sim-1.png"
+alt="Visualizing multivariate proportional time series using the mvgam R package #rstats" />
+<figcaption aria-hidden="true">Visualizing multivariate proportional
+time series using the mvgam R package #rstats</figcaption>
+</figure>
 
 Fit a State-Space GAM to these series that uses a hierarchical cyclic
 seasonal smooth term to capture variation in seasonality among series.
@@ -177,7 +182,10 @@ DGAMs can be useful for working with time series data:
 
 Please also feel free to use the [`mvgam` Discussion
 Board](https://github.com/nicholasjclark/mvgam/discussions) to hunt for
-or post other discussion topics related to the package.
+or post other discussion topics related to the package, and do check out
+the [`mvgam`
+changelog](https://nicholasjclark.github.io/mvgam/news/index.html) for
+any updates about recent upgrades that the package has incorporated.
 
 ## Interested in contributing?