timetk: A Tool Kit for Working with Time Series in R

Get the time series index, signature, and summary from time series objects and time-based tibbles. Create future time series based on properties of existing time series index. Coerce between time-based tibbles ('tbl') and 'xts', 'zoo', and 'ts'.

Depends: R (≥ 3.3.0)
Imports: devtools (≥ 1.12.0), dplyr (≥ 0.7.0), forecast (≥ 0.8.0), lazyeval (≥ 0.2.0), lubridate (≥ 1.6.0), padr (≥ 0.3.0), purrr (≥ 0.2.2), readr (≥ 1.0.0), stringi (≥ 1.1.5), tibble (≥ 1.2), tidyr (≥ 0.6.1), xts (≥ 0.9-7), zoo (≥ 1.7-14)
Suggests: broom, forcats, knitr, rmarkdown, robets, scales, stringr, testthat, tidyverse, tidyquant, timeSeries, fracdiff, timeDate, tseries
Published: 2018-08-19
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: ORPHANED
BugReports: https://github.com/business-science/timetk/issues
License: GPL (≥ 3)
URL: https://github.com/business-science/timetk
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: timetk results


Reference manual: timetk.pdf
Vignettes: Time Series Coercion Using timetk
Working with the Time Series Index using timetk
Making a Future Time Series Index using timetk
Forecasting Using a Time Series Signature with timetk
Package source: timetk_0.1.1.1.tar.gz
Windows binaries: r-devel: timetk_0.1.1.1.zip, r-release: timetk_0.1.1.1.zip, r-oldrel: timetk_0.1.1.1.zip
OS X binaries: r-release: timetk_0.1.1.1.tgz, r-oldrel: timetk_0.1.1.1.tgz
Old sources: timetk archive

Reverse dependencies:

Reverse imports: alphavantager, anomalize, sweep, tidyquant


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