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: 0.3.0
Depends: R (≥ 3.3.0)
Imports: broom (≥ 0.4.2), devtools (≥ 1.12.0), dplyr (≥ 0.5.0), forcats (≥ 0.2.0), forecast (≥ 0.8.0), lazyeval (≥ 0.2.0), lubridate (≥ 1.6.0), padr (≥ 0.2.1), purrr (≥ 0.2.2), quantmod (≥ 0.4-8), readr (≥ 1.0.0), scales (≤ 0.4.1), stringi (≥ 1.1.5), tibble (≥ 1.2), tidyquant (≥ 0.5.1), tidyr (≥ 0.6.1), timeSeries (≥ 3022.101.2), tseries (≥ 0.10-37), TTR (≥ 0.23-1), xts (≥ 0.9-7), zoo (≥ 1.7-14)
Suggests: knitr, rmarkdown, testthat, stringr, tidyverse
Published: 2017-05-16
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
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_0.3.0.tar.gz
Windows binaries: r-devel: timekit_0.2.0.zip, r-release: timekit_0.2.0.zip, r-oldrel: timekit_0.2.0.zip
OS X El Capitan binaries: r-release: timekit_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: timekit archive

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