Package: hubEnsembles 1.0.0

Li Shandross

hubEnsembles: Ensemble Methods for Combining Hub Model Outputs

Functions for combining model outputs (e.g. predictions or estimates) from multiple models into an aggregated ensemble model output.

Authors:Li Shandross [aut, cre], Emily Howerton [aut], Evan L Ray [aut], Anna Krystalli [ctb], Zhian N. Kamvar [ctb], Nicholas G. Reich [ctb], Consortium of Infectious Disease Modeling Hubs [cph]

hubEnsembles_1.0.0.tar.gz
hubEnsembles_1.0.0.zip(r-4.7)hubEnsembles_1.0.0.zip(r-4.6)hubEnsembles_1.0.0.zip(r-4.5)
hubEnsembles_1.0.0.tgz(r-4.6-any)hubEnsembles_1.0.0.tgz(r-4.5-any)
hubEnsembles_1.0.0.tar.gz(r-4.7-any)hubEnsembles_1.0.0.tar.gz(r-4.6-any)
hubEnsembles_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hubEnsembles/json (API)

# Install 'hubEnsembles' in R:

install.packages('hubEnsembles', repos = c('https://hubverse-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hubverse-org/hubensembles/issues

Pkgdown/docs site:https://hubverse-org.github.io

Datasets:

component_outputs - Example model output data for 'linear_pool()'
fweights - Example weights data for 'simple_ensemble()'
model_outputs - Example model output data for 'simple_ensemble()'
weights - Example weights data for 'linear_pool()'

On CRAN:

hubverse

5.96 score 8 stars 1 packages 95 scripts 472 downloads 2 exports 39 dependencies

Last updated from:63012e7b19 (on v1.0.0). Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	161
source / vignettes	OK	220
linux-release-x86_64	OK	153
macos-release-arm64	OK	98
macos-oldrel-arm64	OK	123
windows-devel	OK	99
windows-release	OK	85
windows-oldrel	OK	82
wasm-release	OK	136

Exports:linear_pool simple_ensemble

Dependencies:askpass backports cachem checkmate cli cpp11 curl distfromq dplyr fastmap fs generics gitcreds glue httr2 hubUtils ini jsonlite lifecycle magrittr matrixStats memoise openssl pillar pkgconfig purrr R6 rappdirs rlang stringi stringr sys tibble tidyr tidyselect utf8 vctrs withr zeallot

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Example model output data for 'linear_pool()'	component_outputs
Example weights data for 'simple_ensemble()'	fweights
Compute ensemble model outputs as a linear pool, otherwise known as a distributional mixture, of component model outputs for each combination of model task, output type, and output type id. Supported output types include 'mean', 'quantile', 'cdf', 'pmf', and 'sample'.	linear_pool
Make the output type ID values of sample forecasts distinct for different models	make_sample_indices_unique
Example model output data for 'simple_ensemble()'	model_outputs
Compute ensemble model outputs by summarizing component model outputs for each combination of model task, output type, and output type id. Supported output types include 'mean', 'median', 'quantile', 'cdf', and 'pmf'.	simple_ensemble
Perform validations on the compound task ID set used to calculate an ensemble of component model outputs for the sample output type, including checks that (1) 'compound_taskid_set' is a subset of 'task_id_cols', (2) the provided 'model_out_tbl' is compatible with the specified 'compound_taskid_set', and (3) all models submit predictions for the same set of non 'compound_taskid_set' variables.	validate_compound_taskid_set
Example weights data for 'linear_pool()'	weights