Merge pull request #26 from nfidd/qrensemble

update package name to qrensemble

.github/workflows/deploy.yaml

@@ -26,7 +26,9 @@ jobs:
       - uses: r-lib/actions/setup-r@v2
         with:
           use-public-rspm: true
-          extra-repositories: 'https://stan-dev.r-universe.dev'
+          extra-repositories:
+            https://stan-dev.r-universe.dev,
+            https://epiforecasts.r-universe.dev
 
       - name: Install dependencies
         uses: r-lib/actions/setup-r-dependencies@v2

.github/workflows/render-readme.yaml

@@ -23,7 +23,9 @@ jobs:
         uses: r-lib/actions/setup-r@v2
         with:
           use-public-rspm: true
-          extra-repositories: 'https://stan-dev.r-universe.dev'
+          extra-repositories:
+            https://stan-dev.r-universe.dev,
+            https://epiforecasts.r-universe.dev
 
       - name: Setup pandoc
         uses: r-lib/actions/setup-pandoc@v2

sessions/forecast-ensembles.qmd

@@ -46,15 +46,15 @@ The source file of this session is located at `sessions/forecast-ensembles.qmd`.
 ## Libraries used
 
 In this session we will use the `nfidd` package to load a data set of infection times and access stan models and helper functions, the `dplyr`  and `tidyr` packages for data wrangling, `ggplot2` library for plotting, the `tidybayes` package for extracting results of the inference and the `scoringutils` package for evaluating forecasts.
-We will also use `qra` for quantile regression averaging in the weighted ensemble section.
+We will also use `qrensemble` for quantile regression averaging in the weighted ensemble section.
 
 ```{r libraries, message = FALSE}
 library("nfidd")
 library("dplyr")
 library("tidyr")
 library("ggplot2")
 library("scoringutils")
-library("qra")
+library("qrensemble")
 ```
 
 ::: {.callout-tip}