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fix: tweak example
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R/layer_yeo_johnson.r

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@@ -39,8 +39,8 @@
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#' # Forecast the workflow, which should reverse the Yeo-Johnson transformation.
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#' forecast(wf)
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#' # Compare to the original data.
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#' plot(density(jhu$cases))
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#' plot(density(forecast(wf)$cases))
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#' jhu %>% filter(time_value == "2021-12-31")
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#' forecast(wf)
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layer_epi_YeoJohnson <- function(frosting, ..., lambdas = NULL, by = NULL, id = rand_id("epi_YeoJohnson")) {
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checkmate::assert_tibble(lambdas, min.rows = 1, null.ok = TRUE)
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