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zoltr: Interface to the 'Zoltar' Forecast Repository API

'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

Documentation:

Reference manual: zoltr.pdf
Vignettes: Getting Started
Project Owners

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=zoltr to link to this page.

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.