# tidyquant

The tidyquant package integrates the best resources for collecting and analyzing financial data, zoo, xts, quantmod, TTR, and PerformanceAnalytics, with the tidy data infrastructure of the tidyverse allowing for seamless interaction between each. You can now perform complete financial analyses in the tidyverse.

# timetk

The timetk package enables the user to more easily work with time series objects in R. The package has tools for inspecting, analyzing and manipulating the time-based index and converting time-based objects to and from the many time series classes. The package is well-suited for time series data mining and time series machine learning using the time series signature.

# sweep

The sweep package enables broom-style "tidying" of ARIMA, ETS, BATS, and other models and forecast objects used in the forecast package. The output is a "tidy" data frame that fits into the data science workflow of the tidyverse.