Why isn't rimu tidy?
Read OriginalThe article discusses the author's design choice for the rimu R package, which intentionally avoids the tidyverse. It explains that while dplyr and purrr could handle multiple-response data in long form, they lack automatic type safety. The solution uses a multicolumn S3 class stored in a single data frame column to ensure data integrity, contrasting with approaches like tsibble.
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