Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant'
package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR'
and 'PerformanceAnalytics' package
functions and returns the objects in the tidy 'tibble' format. The main
advantage is being able to use quantitative functions with the 'tidyverse'
functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See
the 'tidyquant' website for more information, documentation and examples.
| Version: |
1.0.5 |
| Depends: |
R (≥ 3.5.0), lubridate, PerformanceAnalytics, quantmod (≥
0.4-13) |
| Imports: |
dplyr (≥ 1.0.0), ggplot2, jsonlite, httr, curl, lazyeval, magrittr, purrr, Quandl, riingo, readr, alphavantager (≥
0.1.2), stringr, tibble, tidyr (≥ 1.0.0), timetk (≥ 2.4.0), timeDate, TTR, xts, rlang, tidyselect |
| Suggests: |
tidyverse, tibbletime, forcats, broom, knitr, rmarkdown, testthat (≥ 2.1.0), scales, Rblpapi, readxl, covr, janitor |
| Published: |
2022-09-08 |
| Author: |
Matt Dancho [aut, cre],
Davis Vaughan [aut] |
| Maintainer: |
Matt Dancho <mdancho at business-science.io> |
| BugReports: |
https://github.com/business-science/tidyquant/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/business-science/tidyquant |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
Finance |
| CRAN checks: |
tidyquant results |