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tsibble 0.6.0
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@earowang earowang released this 27 Nov 11:00
v0.6.0
cc0ed8c

This release simplifies the "key" structure. The nesting and crossing definition has been removed from the "key" specification. One or more variables forming the "key", are required to identify observational units over time, but no longer assume the relationship between these variables. The nesting and crossing structure will be dealt with visualisation and forecasting reconciliation in downstream packages.

Breaking changes

  • count_gaps.tbl_ts() returns a tibble containing gaps for each key value rather than an overall gap, which is consistent with the rest of tsibble methods. And all output column names that are not supplied by users gain a prefixed ".".
  • time_unit() accepts interval input instead of time vectors to avoid overheads, also marked as internal function.
  • Separate partial sliding from slider() and pslider() as new functions partial_slider() and partial_pslider(). Argument .partial is removed from slider() and pslider() to feature a simpler interface.
  • Removed argument group from build_tsibble(). In order to construct a grouped tsibble, x requires a grouped df.

New features

  • Added S3 generic has_gaps() to quickly check if there are implicit time gaps for each key in a tsibble.
  • Added S3 generic new_data() to produce the future of a tsibble.
  • A shorthand filter_index() to filter time window for a tsibble.
  • New S3 generic time_in() to check if time falls in the ranges in compact expression, with no need for time zone specification.
  • An empty tsibble is now valid and will not raise an error, which makes it easier to programme with.
  • New vignettes on handling implicit missingness and FAQ.
  • new_tsibble() creates a subclass of a tsibble.
  • Renamed fill_na() to fill_gaps(), for more expressive function name and consistency to has_gaps() and count_gaps(). Soft-deprecated fill_na(). (#71)
  • Added is_duplicated(), are_duplicated() and duplicates().
  • If POSIXct, time zone will be displayed in the header via print().
  • Added index support for ordered factors.

Bug fixes

  • Fixed unexpected error message for holiday_aus() that requires package "timeDate".
  • Fixed summarise.tbl_ts(), select.tbl_ts() & fill_na.tbl_ts() scoping issue (#67).
  • slice.tbl_ts() correctly handles logical NA.
  • fill_na() will only replace implicit time gaps by values and functions, and leave originally explicit NA intact.
  • tidyr::fill() gained support for class "grouped_ts", and it is re-exported again. (#73)

Misc

  • Soft-deprecated fill_na(), in favour of fill_gaps().
  • Soft-deprecated find_duplicates(), in favour of are_duplicated().
  • Deprecated case_na(), and will be defunct in next release.
  • Deprecated split_by(), which is under development as S3 generic in dplyr.
  • Soft-deprecated as.tsibble(), following as.tibble() in tibble.
  • Deprecated .drop argument in column-wise verbs, and suggested to use as_tibble().
  • If select() doesn't select index, it will inform users and automatically select it.
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