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redocument, update snapshots
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R/autoplot.R

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@@ -14,22 +14,17 @@ ggplot2::autoplot
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#'
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#' @inheritParams epiprocess::autoplot.epi_df
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#' @param object An `epi_workflow`
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#'
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#' @param predictions A data frame with predictions. If `NULL`, only the
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#' original data is shown.
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#' @param .levels A numeric vector of levels to plot for any prediction bands.
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#' More than 3 levels begins to be difficult to see.
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#' @param ... Ignored
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#' @param .color_by A character string indicating how to color the data. See
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#' `epiprocess::autoplot.epi_df()` for more details.
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#' @param .facet_by A character string indicating how to facet the data. See
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#' `epiprocess::autoplot.epi_df()` for more details.
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#' @param .facet_by Similar to `.color_by` except that the default is to
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#' display the response.
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#' @param .base_color If available, prediction bands will be shown with this
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#' color.
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#' @param .point_pred_color If available, point forecasts will be shown with this
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#' color.
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#' @param .max_facets The maximum number of facets to show. If the number of
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#' facets is greater than this value, only the top facets will be shown.
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#' @param .point_pred_color If available, point forecasts will be shown with
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#' this color.
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#'
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#' @name autoplot-epipred
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#' @examples

man/arx_class_epi_workflow.Rd

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man/arx_classifier.Rd

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man/arx_fcast_epi_workflow.Rd

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man/arx_forecaster.Rd

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man/autoplot-epipred.Rd

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tests/testthat/_snaps/snapshots.md

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0.95)), class = c("dist_quantiles", "dist_default", "vctrs_rcrd",
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"vctrs_vctr"))), class = c("distribution", "vctrs_vctr", "list"
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)), forecast_date = structure(c(18992, 18992, 18992, 18992, 18992,
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18992), class = "Date"), target_date = structure(c(19000, 19000,
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19000, 19000, 19000, 19000), class = "Date")), row.names = c(NA,
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18992), class = "Date"), target_date = structure(c(18993, 18993,
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18993, 18993, 18993, 18993), class = "Date")), row.names = c(NA,
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-6L), class = c("tbl_df", "tbl", "data.frame"))
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# cdc_baseline_forecaster snapshots

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