tidyquant: Tidy Quantitative Financial Analysis

Bringing 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: 0.5.1
Depends: R (≥ 3.3.0), lubridate (≥ 1.6.0), PerformanceAnalytics (≥ 1.4.3541), quantmod (≥ 0.4-8), tidyverse (≥ 1.1.0)
Imports: broom (≥ 0.4.2), curl (≥ 2.3), devtools (≥ 1.12.0), dplyr (≥ 0.5.0), ggplot2 (≥ 2.2.1), httr (≥ 1.2.1), lazyeval (≥ 0.2.0), magrittr (≥ 1.5), purrr (≥ 0.2.2), Quandl (≥ 2.8.0), readr (≥ 1.0.0), rvest (≥ 0.3.2), scales (≥ 0.4.1), stats (≥ 3.3.0), stringr (≥ 1.1.0), tibble (≥ 1.2), tidyr (≥ 0.6.1), timeSeries (≥ 3022.101.2), tseries (≥ 0.10-37), TTR (≥ 0.23-1), xml2 (≥ 1.1.0), xts (≥ 0.9-7), zoo (≥ 1.7-14)
Suggests: knitr, rmarkdown, testthat, forcats
Published: 2017-04-24
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

Downloads:

Reference manual: tidyquant.pdf
Vignettes: Introduction to tidyquant
Core Functions in tidyquant
R Quantitative Analysis Package Integrations in tidyquant
Scaling Your Analysis with tidyquant
Charting with tidyquant
Performance Analysis with tidyquant
Package source: tidyquant_0.5.1.tar.gz
Windows binaries: r-devel: tidyquant_0.5.1.zip, r-release: tidyquant_0.5.1.zip, r-oldrel: tidyquant_0.5.1.zip
OS X El Capitan binaries: r-release: tidyquant_0.5.1.tgz
OS X Mavericks binaries: r-oldrel: tidyquant_0.3.0.tgz
Old sources: tidyquant archive

Reverse dependencies:

Reverse imports: EventStudy
Reverse suggests: sweep, timetk

Linking:

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