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'Zoltar' <https://www.zoltardata.com/> is a website that provides a repository of model forecast results in a standardized format and a central location. It supports storing, retrieving, comparing, and analyzing time series forecasts for prediction challenges of interest to the modeling community. This package provides functions for working with the 'Zoltar' API, including connecting and authenticating, getting meta information (projects, models, and forecasts, and truth), and uploading, downloading, and deleting forecast and truth data.
Version: | 1.0.1 |
Imports: | data.table, httr, jsonlite, readr, base64url, dplyr, MMWRweek, utils, rlang, magrittr, lubridate |
Suggests: | testthat, knitr, rmarkdown, webmockr, mockery |
Published: | 2024-06-27 |
DOI: | 10.32614/CRAN.package.zoltr |
Author: | Matthew Cornell [aut, cre], Nicholas Reich [aut, cph] |
Maintainer: | Matthew Cornell <cornell at umass.edu> |
BugReports: | https://github.com/reichlab/zoltr/issues |
License: | GPL-3 |
URL: | https://github.com/reichlab/zoltr , http://reichlab.io/zoltr/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | zoltr results |
Reference manual: | zoltr.pdf |
Vignettes: |
Getting Started Project Owners |
Package source: | zoltr_1.0.1.tar.gz |
Windows binaries: | r-devel: zoltr_1.0.1.zip, r-release: zoltr_1.0.1.zip, r-oldrel: zoltr_1.0.1.zip |
macOS binaries: | r-release (arm64): zoltr_1.0.1.tgz, r-oldrel (arm64): zoltr_1.0.1.tgz, r-release (x86_64): zoltr_1.0.1.tgz, r-oldrel (x86_64): zoltr_1.0.1.tgz |
Old sources: | zoltr archive |
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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.