CRAN v0.3.2

Minor patch to resolve CRAN check issues with ggplot2 v3.5.0 breaking changes.

Improvements

• Calculate seasonally adjusted data from classical decomposition using original
  data and seasonal term rather than trend and remainder.

Bug fixes

• Fixed out-of-bounds gg_season() breaks issue with ggplot2 v3.5.0
• Changed the metadata of classical decomposition's components to better reflect
  the seasonally adjusted variable's structure.

CRAN v0.3.1

feasts 0.3.1

Minor patch to resolve CRAN check issues with S3 method consistency.

CRAN v0.3.0

New features

• Added the tapered argument to ACF() and PACF() for producing banded and
  tapered estimates of autocovariance (#1).

Improvements

• gg_season() now allows seasonal period identifying labels to be nudged and
  repelled with the labels_repel, labels_left_nudge, and
  labels_right_nudge arguments.
• gg_season() behaviour of max_col has been restored, where colours aren't
  used if the number of subseries to be coloured exceeds this value. The default
  has changed to Inf since this function now supports continuous colour
  guides. A new argument max_col_discrete has been added to control the
  threshold for showing discrete and continuous colour guides (#150).
• Updated guerrero() method to maintain a consistent subseries length by
  removing the first few observations of needed. This more closely matches
  the described method, and the implementation in the forecast package.
• Added grid.draw() method for ensemble graphics (gg_tsdisplay() and
  gg_tsresiduals()). This allows use of ggsave() with these plots (#149).

Bug fixes

• Fixed generate(<STL>) returning $.sim as a num [1:n(1d)] instead of
  num [1:72] (fable/#336).
• Fixed issue with gg_season() incorrectly grouping some seasonal subseries.
• CCF() now matches stats::ccf() x and y arguments (#144).

CRAN v0.2.2

Minor release for compatibility with an upcoming ggplot2 release. This release
contains a few bug fixes and improvements to existing functionality.

Improvements

• The gg_tsresiduals() function now allows the type of plotted residual to be
  controlled via the type argument.
• Improved the default seasonal window for STL() decompositions. For data with
  a single seasonal pattern, the window has changed from 13 to 11. This change
  is based on results from simulation experiments.
• Documentation improvements.

Bug fixes

• Fixed issue where seasonal::seas() defaults were not being used in
  X_13ARIMA_SEATS() when defaults = "seasonal" (#130).
• Fixed issue with gg_subseries() on data with spaces in the index column
  name (#136).

Breaking changes

• Replaced usage of ... in ACF(), PACF(), and CCF() with y (and x
  for CCF()) arguments. This change should not affect the code for most users,
  but is important for the eventual passing of ... to acf(), pacf() and
  ccf() in a future version (#124).

CRAN v0.2.1

Small patch to fix check issues on Solaris, and to resolve components() for
automatically selected transformations in X_13ARIMA_SEATS().

CRAN v0.2.0

New features

• Added X_13ARIMA_SEATS() decomposition method. This is a complete wrapper of
  the X-13ARIMA-SEATS developed by the U.S. Census Bureau, implemented via
  the seasonal::seas() function. The defaults match what is used in the
  seasonal pacakge, however these defaults can be removed (giving an empty
  default model) by setting defaults="none".

Breaking changes

• The new X_13ARIMA_SEATS() method officially deprecates (supersedes) the
  X11() and SEATS() models which were previously not exported (#66).

CRAN v0.1.7

New features

• Added generate() method for STL() decompositions. The method uses a block
  bootstrap method to sample from the residuals.
• Added fitted() and residuals() methods for STL() decompositions.

Improvements

• Changed guerrero() default lower bound for Box-Cox lambda selection to from
  -1 to -0.9. A transformation parameter of -1 typically results from data which
  should not be transformed with a Box-Cox transformation, and can result in
  very inaccurate forecasts if such a strong and inappropriate transformation is
  used.
• Improved time series plotting functions axis labelling.
• Documentation improvements.

CRAN v0.1.6

feasts 0.1.6

A minor release to fix check issues introduced by changes in an upstream
dependency.

Improvements

• gg_season() labels are low aligned outward (#115).

Bug fixes

• Fixed issue with plotting aggregated tsibbles with gg_season() and
  gg_subseries() (#117).
• Fixed occasional issue with double label/breaks displayed in gg_season()

CRAN v0.1.5

Improvements

• gg_lag() facets are now displayed with a 1:1 aspect ratio.
• Season and subseries plots of numeric index data now starts at the earliest
  measured observation, rather than assuming a meaningful 0 (#111).
• The n_flat_spots() function has been renamed to longest_flat_spot() to
  more accurately describe the feature.
• gg_season() and ggsubseries() date structure improvements.
• Documentation improvements

Breaking changes

• The n_flat_spots() return name is now "longest_flat_spot" to better describe
  the feature.

CRAN v0.1.4

Minor patch to resolve upstream check issues introduced by dplyr v1.0.0 and
tsibble v0.9.0.

New features

• Circular time plots are now supported by setting polar = TRUE in
  gg_season().

Improvements

• Added partial matching of the type argument in ACF().
• Updated feat_spectral() to use stats::spec.ar() instead of
  ForeCA::spectral_entropy(). Note that the feature value will be slightly
  different due to use of a different spectral estimator, and the fix of a
  bug in ForeCA.

Bug fixes

• Fixed the minimum data length for seasonal estimation in feat_stl().