f-u styler

cmu-delphi · Nov 11, 2024 · 1a4f3e7 · 1a4f3e7
1 parent f075b84
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Showing 2 changed files with 12 additions and 10 deletions.
diff --git a/vignettes/articles/smooth-qr.Rmd b/vignettes/articles/smooth-qr.Rmd
@@ -300,10 +300,12 @@ to 7:
 
 ```{r, eval = FALSE}
 smooth_preds_list <- map(1:7, function(x) {
-  smooth_fc(edf,
-            degree = x,
-            quantiles = c(.1, .25, .5, .75, .9),
-            fd = fd) %>%
+  smooth_fc(
+    edf,
+    degree = x,
+    quantiles = c(.1, .25, .5, .75, .9),
+    fd = fd
+  ) %>%
     mutate(degree = x)
 }) %>% list_rbind()
 ```

diff --git a/vignettes/epipredict.Rmd b/vignettes/epipredict.Rmd
@@ -259,8 +259,8 @@ package:
 
 ```{r ranger, warning = FALSE}
 out_rf <- arx_forecaster(
-  jhu, 
-  outcome = "death_rate", 
+  jhu,
+  outcome = "death_rate",
   predictors = c("case_rate", "death_rate"),
   trainer = rand_forest(mode = "regression")
 )
@@ -270,8 +270,8 @@ Or boosted regression trees with `{xgboost}`:
 
 ```{r xgboost, warning = FALSE}
 out_gb <- arx_forecaster(
-  jhu, 
-  outcome = "death_rate", 
+  jhu,
+  outcome = "death_rate",
   predictors = c("case_rate", "death_rate"),
   trainer = boost_tree(mode = "regression", trees = 20)
 )
@@ -281,8 +281,8 @@ Or quantile regression, using our custom forecasting engine `quantile_reg()`:
 
 ```{r quantreg, warning = FALSE}
 out_qr <- arx_forecaster(
-  jhu, 
-  outcome = "death_rate", 
+  jhu,
+  outcome = "death_rate",
   predictors = c("case_rate", "death_rate"),
   trainer = quantile_reg()
 )