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: 1.0.11 Depends: R (≥ 3.5.0) Imports: dplyr (≥ 1.0.0), ggplot2 (≥ 3.4.0), httr, httr2, curl, lazyeval, lubridate, magrittr, PerformanceAnalytics, RobStatTM, quantmod (≥ 0.4-13), purrr, readr, readxl, stringr, tibble, tidyr (≥ 1.0.0), timetk (≥ 2.4.0), timeDate, TTR, xts, rlang, zoo, cli Suggests: alphavantager (≥ 0.1.2), Quandl, riingo, tibbletime, broom, knitr, forcats, rmarkdown, testthat (≥ 2.1.0), scales, Rblpapi, janitor Published: 2025-02-13 DOI: 10.32614/CRAN.package.tidyquant 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://business-science.github.io/tidyquant/, https://github.com/business-science/tidyquant NeedsCompilation: no Materials: README NEWS In views: Finance CRAN checks: tidyquant results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tidyquant to link to this page.
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