v2.4.0

• incidence() gains a fill parameter. This is passed to complete_dates()
  so is only valid when the argument complete_dates = TRUE.

• For convenience we now reexport select() from
  dplyr as well as
  unnest() and unpack() from tidyr.

• Alt text has been added to all vignette images.

• Improved input checking for keep_first() and keep_last().

v2.3.1

• Temporarily remove the ympes dependency due to up stream changes.
• No other user facing changes.

Incidence release v2.3.0

New functions / features:

• The bootstrap_incidence(), estimate_peak() and first_peak() functions have been integrated from the downstream i2extras package.

• Added group-aware methods for common generics in base R, dplyr and tidyr:

  • split.incidence2()
  • mutate.incidence2()
  • summarise.incidence2()
  • nest.incidence2()

• Added coercion methods for tibble and data.table:

  • as_tibble.incidence2()
  • as.data.table.incidence2()

• New methods, $<-.incidence2 and rbind.incidence2, that drop the incidence2 class if the required invariants are broken.

• New functions incidence_() and regroup_() that work similar to their existing namesakes save for additional support for
  tidy-select semantics in some of their arguments.

• Named vectors can now be used for the groups and counts arguments of incidence() to allow renaming prior to aggregation. Previously this was only possible with the date_index input.

• incidence() gains a complete_dates argument defaulting to FALSE. If set this is equivalent of a call to incidence() followed by a call to complete_dates() with the default arguments. Users wanting more flexibility can still call the complete_dates() function with different arguments.

Breaking changes:

• All of the aforementioned new methods would previously have dispatched on the underlying data.frame method. If you were relying on this behaviour then you will now need to add a call to as.data.frame() prior to continuing your pipeline.

• incidence2 objects are now built upon tibbles rather than standard data frames. This means where we do not provide methods for incidence2 objects tibble (as opposed to data.frame) methods will be called. An overview of the differences between tibbles and data.frames can be found at https://tibble.tidyverse.org/articles/invariants.html.

• incidence() now warns if a count variable contains missing values and encourages users to handle these prior to calling incidence()`.

• The package now has a hard dependency on the R version (>= 4.1.0).

incidence2 2.2.3

Bug fixes

• plot.incidence2() now works again when applied to objects with
  a <grates_period> date_index. This was inadvertently broken in the 2.2.1
  release. Thanks to @Bisaloo for the report (#110).

incidence2 2.2.1

New features

• plot.incidence2() gains arguments n_breaks, fill, show_cases and legend allowing for a wider range of plot styles. See vignette("incidence2", package = "incidence2") for examples.

incidence2 2.1.0

New features

• Specifying interval = "day" or interval = daily in a call to incidence
  will force the resultant date_index variable to be a <Date>. Functionally
  this is a wrapper around as.Date() that ensures the underlying data are
  whole numbers and that time zones are respected.

(minor) breaking changes

• incidence() will now warn if objects are created with POSIXct columns.
  The motivation for this is that, internally, objects are represented
  as seconds since the UNIX epoch and, in our experience, this level of
  granularity is not normally desired for aggregation.

• The by parameter of complete_dates() is now defunct. This was previously
  passed to an underlying seq function when, in practice, it should always
  have been forced to 1 to match the precision of the underlying date_index.

• complete_dates() will now error if called on an input with a
  date_index. Users must now explicitly set the argument allow_POSIXct = TRUE
  to maintain old behaviour.

incidence2 2.0.0

Version 2.0.0 is a major, breaking release of incidence2. We have undertaken a
significant refactor that both simplifies the underlying code base and makes the
user interface more consistent and robust. Although the main changes are
highlighted below, users are strongly advised to read through the accompanying
documentation and vignettes.

breaking changes

• We no longer support NSE (e.g. tidyselect semantics) within the package. Our
  motivation for removing support for NSE are both the complexity it can bring
  to the underlying code (making long term maintenance harder) and the
  complexity it can cause for other users / developers who want to build on
  top of incidence2.

• new_incidence(), validate_incidence(), build_incidence(), get_n(),
  get_interval(), get_timespan() and facet_plot() are now defunct and
  will error if called.

• complete_counts() is now renamed complete_dates() and gains two new
  parameters, expand and by. If expand is TRUE (default) then
  complete_dates() will attempt to use
  function(x) seq(min(x), max(x), by = by) to generate a complete sequence of
  dates.

• The incidence() function now always returns output in long format with
  dedicated columns for the count variables and values (set by arguments
  count_names_to and count_values_to).

• incidence() is now less flexible in what it can accept for the interval
  argument. For more complex date groupings users are encouraged to perform
  their require data transformations prior to calling incidence().

• The default plotting of incidence objects as been greatly simplified. Sensible
  defaults have been chosen to enable a quick visual overview of incidence
  objects but users are advised to call ggplot2 directly for more bespoke
  plotting.

incidence2 1.2.2

Bug fixes

• Fixes bug when input object to incidence is a data.table.

incidence2 1.2.1

Bug fixes

• Fixes bug in incidence() when more than one column was given for the date_index.
• Fixes incorrect test that did not take in to account changing time zones.

incidence2 1.2.0

New functions

• new_incidence(): A minimal incidence constructor.
• validate_incidence(): Check for internal consistency of incidence-like object.
• build_incidence(): Allows you to construct an incidence object whilst specifying
  your own date grouping function.
• format.incidence()

Deprecated functions

• cumulate() will now give a deprecation error. We have removed the function
  to avoid users erroneously regressing against a cumulative count.

Bug fixes

• Fixes bug in incidence() when dates were a character vector and the the
  default, daily, interval was specified.

Other updates

• Now uses dplyr to handle list based columns (e.g. record-type objects from
  vctrs). For data.frames with only atomic columns, data.table is still used.
• Printing and summaries of incidence objects have been improved to remove
  duplication in the overview section.