tests/testthat/_snaps/time_recompose.md

In business-science/anomalize: Tidy Anomaly Detection

time_recompose works on tbl_time

Code
  single_recomp <- tidyverse_cran_downloads %>% dplyr::filter(package ==
    "tidyquant") %>% dplyr::ungroup() %>% time_decompose(count, method = "stl") %>%
    anomalize(remainder, method = "iqr") %>% time_recompose()
Message
  frequency = 7 days
  trend = 91 days

business-science/anomalize documentation built on Jan. 28, 2024, 1:06 a.m.