hubEnsembles 1.0.0
CRAN release: 2025-05-23
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hubEnsembles.Rmdarticle now explains how to ensemble samples usinglinear_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 argumentderived_task_ids(derived_tasksis now deprecated) (#156)
hubEnsembles 0.1.9
CRAN release: 2024-10-02
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simple_ensemble()now usesidentical()to avoid triggering anall.equal.environment()error. This error would sometimes occur when providing theagg_funargument with a custom function. (#134)
hubEnsembles 0.1.8
CRAN release: 2024-09-26
- README now points to hubverse R-universe
- Package submission to CRAN
hubEnsembles 0.1.7
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hubEnsembles.Rmdvignette is now an article -
linear_pool()now properly splits its pools (#128) -
linear_pool_quantile()uses internal package functions only, notHmisc-utilsfunctions - Functions using
all_of()are updated to avoid throwing dplyr warnings
hubEnsembles 0.1.6
- 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)
hubEnsembles 0.1.5
- Validate that
weightsargument doesn’t contain weights dependent on output type ID for PMF and CDF forecasts (#35)
hubEnsembles 0.1.3
- Organization name has been changed to “hubverse-org” (#115)
