trendseries 1.2.0
New Features
-
augment_trends()now accepts multiple value columns via a character vector invalue_col. Trends are extracted for each column and namedtrend_{method}_{col}(e.g.trend_stl_consumption). -
Improved UCM (Unobserved Components Model) trend extraction. The model now uses fixed variance components with signal-to-noise ratios derived from Hodrick-Prescott filter lambdas, producing smoother, economically meaningful trends by default. The
smoothingparameter can be used to override the default. -
Added London Underground transit datasets:
transit_london_monthlyandtransit_london_avgs.
Breaking Changes
group_varsis deprecated in favour ofgroup_colsinaugment_trends(). A deprecation warning is now issued whengroup_varsis used.group_varswill be removed in a future release. Update your code by replacinggroup_vars = ...withgroup_cols = ....
Bug Fixes and Improvements
- Fixed typos, grammar, and prose across vignettes.
- Updated vignettes to use
group_colsinstead of deprecatedgroup_vars. - Fixed mislabeled y-axis in vignette plots.
- Removed stale ZLEMA reference from moving average documentation.