NEWS

hubEnsembles 1.0.0 (2025-05-23)

hubEnsembles.Rmd article now explains how to ensemble samples using linear_pool()
linear_pool() supports requesting a subset of component model sample forecasts when ensembling samples (#144)
linear_pool() supports the specification of the compound task ID set, so that trajectory samples can be correctly ensembled (#144)
linear_pool() supports the simplest case of ensembling samples, where all component samples are collected and returned (#109)
linear_pool() now uses the argument derived_task_ids (derived_tasks is now deprecated) (#156)

simple_ensemble() now uses identical() to avoid triggering an all.equal.environment() error. This error would sometimes occur when providing the agg_fun argument with a custom function. (#134)

hubEnsembles.Rmd vignette is now an article
linear_pool() now properly splits its pools (#128)
linear_pool_quantile() uses internal package functions only, not Hmisc-utils functions
Functions using all_of() are updated to avoid throwing dplyr warnings

Base R 4.1 pipe (|>) is used in place of magrittr pipe (%>%)
Function examples are simplified
simple_ensemble() now produces valid distributions for all weighted medians (#122)

Validate that weights argument doesn't contain weights dependent on output type ID for PMF and CDF forecasts (#35)

Functions now use map() and list_rbind() in conjunction to avoid superseded warnings from purrr (#117)
Functions now use double quotes or .data[[]] as appropriate within dplyr functions to avoid warnings (#117)

hubEnsembles.Rmd vignette now better reflects package capabilities (#29, #113)
Example data that is out of date has been removed (#113)
Hmisc dependency has been removed (#55)

hubUtils dependency has been bumped to 0.0.1 or higher, after its split into hubUtils and hubData (#98)
Roxygen is bumped to 7.3.1
Lint workflow have been added (#96, #98)
GitHub workflows have been upgraded (#96, #98)

linear_pool_quantile() now coerces quantile levels to numeric to prevent distfromq errors (#58, #63)