diff --git a/dev/articles/panel-data.html b/dev/articles/panel-data.html index 71dcec34..6d1f7180 100644 --- a/dev/articles/panel-data.html +++ b/dev/articles/panel-data.html @@ -695,7 +695,7 @@

Flatline forecasterout_fl #> ══ A basic forecaster of type flatline ═════════════════════════════════════════ #> -#> This forecaster was fit on 2024-10-09 20:16:04. +#> This forecaster was fit on 2024-10-16 16:32:43. #> #> Training data was an <epi_df> with: #> • Geography: custom, @@ -735,7 +735,7 @@

Autoregressive forecast out_arx_lr #> ══ A basic forecaster of type ARX Forecaster ═══════════════════════════════════ #> -#> This forecaster was fit on 2024-10-09 20:16:04. +#> This forecaster was fit on 2024-10-16 16:32:43. #> #> Training data was an <epi_df> with: #> • Geography: custom, @@ -765,7 +765,7 @@

Autoregressive forecast out_arx_rf #> ══ A basic forecaster of type ARX Forecaster ═══════════════════════════════════ #> -#> This forecaster was fit on 2024-10-09 20:16:05. +#> This forecaster was fit on 2024-10-16 16:32:44. #> #> Training data was an <epi_df> with: #> • Geography: custom, diff --git a/dev/articles/preprocessing-and-models.html b/dev/articles/preprocessing-and-models.html index 054330a6..15b69500 100644 --- a/dev/articles/preprocessing-and-models.html +++ b/dev/articles/preprocessing-and-models.html @@ -242,7 +242,7 @@

End aside#> An `epi_df` object, 5 x 3 with metadata: #> * geo_type = state #> * time_type = day -#> * as_of = 2024-10-09 20:16:11.377878 +#> * as_of = 2024-10-16 16:32:50.532191 #> #> # A tibble: 5 × 3 #> geo_value time_value .pred diff --git a/dev/articles/update.html b/dev/articles/update.html index 321fe44d..9d764f9a 100644 --- a/dev/articles/update.html +++ b/dev/articles/update.html @@ -460,7 +460,7 @@

Add/update/remove #> x <- remove_frosting(x) #> add_frosting(x, frosting) #> } -#> <bytecode: 0x55c34d1a5140> +#> <bytecode: 0x5580875830b0> #> <environment: namespace:epipredict>

If we decide that we do not want the frosting post-processing at all, we can remove the frosting object diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml index 4f3fff3b..bba33b48 100644 --- a/dev/pkgdown.yml +++ b/dev/pkgdown.yml @@ -10,7 +10,7 @@ articles: articles/smooth-qr: smooth-qr.html articles/symptom-surveys: symptom-surveys.html update: update.html -last_built: 2024-10-09T20:14Z +last_built: 2024-10-16T16:30Z urls: reference: https://cmu-delphi.github.io/epipredict/reference article: https://cmu-delphi.github.io/epipredict/articles diff --git a/dev/reference/layer_population_scaling.html b/dev/reference/layer_population_scaling.html index dc03884d..7c5e402f 100644 --- a/dev/reference/layer_population_scaling.html +++ b/dev/reference/layer_population_scaling.html @@ -159,6 +159,7 @@

Examplesjhu <- jhu_csse_daily_subset %>% filter(time_value > "2021-11-01", geo_value %in% c("ca", "ny")) %>% select(geo_value, time_value, cases) +#> Error: object 'jhu_csse_daily_subset' not found pop_data <- data.frame(states = c("ca", "ny"), value = c(20000, 30000)) @@ -172,6 +173,7 @@

Examples step_epi_lag(cases_scaled, lag = c(0, 7, 14)) %>% step_epi_ahead(cases_scaled, ahead = 7, role = "outcome") %>% step_epi_naomit() +#> Error: object 'jhu' not found f <- frosting() %>% layer_predict() %>% @@ -186,18 +188,10 @@

Exampleswf <- epi_workflow(r, linear_reg()) %>% fit(jhu) %>% add_frosting(f) +#> Error: object 'r' not found forecast(wf) -#> An `epi_df` object, 2 x 4 with metadata: -#> * geo_type = state -#> * time_type = day -#> * as_of = 2024-08-23 02:40:48.296938 -#> -#> # A tibble: 2 × 4 -#> geo_value time_value .pred .pred_scaled -#> * <chr> <date> <dbl> <dbl> -#> 1 ca 2021-12-31 4.25 84938. -#> 2 ny 2021-12-31 5.93 177766. +#> Error: object 'wf' not found