@@ -1800,6 +1800,7 @@ ggplot() +
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``` {r smooth-nowcasts-epi-slide}
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#| echo: true
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+ #| fig-width: 7
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smoothed_nowcasts <- epi_slide(
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nowcasts |> as_epi_df(),
@@ -2306,8 +2307,6 @@ reg4_nowcasts <- hosp_mort_archive |>
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.all_versions = TRUE)
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```
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- ## Data wrangling
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-
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``` {r regression-nowcast-wrangling}
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ratio_nowcasts_archive <- nowcasts |>
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filter(geo_value == "ca") |>
@@ -2334,8 +2333,8 @@ nowcast_comparison <-
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mutate(Nowcaster = recode(Nowcaster,
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prediction_locf = "LOCF",
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prediction_ratio = "LOCF ratio model",
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- prediction_reg1 = "LinReg model",
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- prediction_reg2 = "LinReg + hosp",
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+ prediction_reg1 = "Regression model",
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+ prediction_reg2 = "Regression + hosp",
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prediction_reg3 = "QuantReg model",
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prediction_reg4 = "QuantReg + hosp",
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.default = Nowcaster))
@@ -2363,7 +2362,7 @@ nowcast_comparison |>
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nowcast_comparison |>
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filter(target_date >= min(all_nowcast_dates) - 35,
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- !(Nowcaster %in% c("LinReg model", "LinReg + hosp"))) |>
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+ !(Nowcaster %in% c("Regression model", "Regression + hosp"))) |>
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ggplot() +
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geom_line(aes(target_date, mortality)) +
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geom_line(aes(target_date, prediction, color = Nowcaster)) +
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