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hubEnsembles 0.1.9

• 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 0.1.8

• README now points to hubverse R-universe
• Package submission to CRAN

hubEnsembles 0.1.7

• 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

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

hubEnsembles 0.1.4

• Functions now use map() and list_rbind() in conjunction to avoid superseded warnings from purrr (#117)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 0.1.3

• Organization name has been changed to “hubverse-org” (#115)

hubEnsembles 0.1.2

• 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• Example data that is out of date has been removed (#113)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)

hubEnsembles 0.1.1

• 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)

hubEnsembles 0.1.0

• Example data has been added (#95)
• Package docs are upgraded to hubStyle theme (#93)

hubEnsembles 0.0.9001

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

hubEnsembles 0.0.9000

• Initial Release.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.