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Imports time series data from the 'Quandl' database <https://data.nasdaq.com/>. The package uses the 'json api' at <https://data.nasdaq.com/search>, local caching ('memoise' package) and the tidy format by default. Also allows queries of databases, allowing the user to see which time series are available for each database id. In short, it is an alternative to package 'Quandl', with faster data importation in the tidy/long format.
Version: | 1.0.0 |
Depends: | R (≥ 4.0.0) |
Imports: | jsonlite, memoise, dplyr, purrr, utils, readr, fs |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2, tibble |
Published: | 2023-02-15 |
DOI: | 10.32614/CRAN.package.GetQuandlData |
Author: | Marcelo S. Perlin |
Maintainer: | Marcelo S. Perlin <marceloperlin at gmail.com> |
BugReports: | https://github.com/msperlin/GetQuandlData/issues |
License: | GPL-2 |
URL: | https://github.com/msperlin/GetQuandlData/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | GetQuandlData results |
Reference manual: | GetQuandlData.pdf |
Vignettes: |
Using GetQuandlData to study inflation rates around the world |
Package source: | GetQuandlData_1.0.0.tar.gz |
Windows binaries: | r-devel: GetQuandlData_1.0.0.zip, r-release: GetQuandlData_1.0.0.zip, r-oldrel: GetQuandlData_1.0.0.zip |
macOS binaries: | r-release (arm64): GetQuandlData_1.0.0.tgz, r-oldrel (arm64): GetQuandlData_1.0.0.tgz, r-release (x86_64): GetQuandlData_1.0.0.tgz, r-oldrel (x86_64): GetQuandlData_1.0.0.tgz |
Old sources: | GetQuandlData 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.