timekit: A Collection of Tools 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'.

Version: 0.3.1
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, scales, stringr, testthat, tidyverse, tidyquant
Published: 2017-06-28
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho at business-science.io>
BugReports: https://github.com/business-science/timekit/issues
License: GPL (≥ 3)
URL: https://github.com/business-science/timekit
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: timekit results

Downloads:

Reference manual: timekit.pdf
Vignettes: Time Series Coercion Using timekit
Working with the Time Series Index using timekit
Making a Future Time Series Index using timekit
Forecasting Using a Time Series Signature with timekit
Package source: timekit_0.3.1.tar.gz
Windows binaries: r-devel: timekit_0.3.0.zip, r-release: timekit_0.3.0.zip, r-oldrel: timekit_0.3.0.zip
OS X El Capitan binaries: r-release: timekit_0.3.0.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: timekit archive

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