# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		R-timetk
VERSION=		2.2.0
KEYWORDS=		cran
VARIANTS=		standard
SDESC[standard]=	Tool Kit for Working with Time Series in R
HOMEPAGE=		https://github.com/business-science/timetk
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
DISTFILE[1]=		timetk_2.2.0.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[standard]=	single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILDRUN_DEPENDS=	R-recipes:single:standard
			R-rsample:single:standard
			R-dplyr:single:standard
			R-ggplot2:single:standard
			R-forcats:single:standard
			R-stringr:single:standard
			R-plotly:single:standard
			R-lazyeval:single:standard
			R-lubridate:single:standard
			R-padr:single:standard
			R-purrr:single:standard
			R-readr:single:standard
			R-stringi:single:standard
			R-tibble:single:standard
			R-tidyr:single:standard
			R-xts:single:standard
			R-zoo:single:standard
			R-rlang:single:standard
			R-tidyselect:single:standard
			R-slider:single:standard
			R-anytime:single:standard
			R-timeDate:single:standard
			R-forecast:single:standard
			R-hms:single:standard
			R-assertthat:single:standard

USES=			cran gmake

DISTNAME=		timetk

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:591:descriptions/desc.single]
timetk: A Tool Kit for Working with Time Series in R

Easy visualization, wrangling, and feature engineering of time series data
for forecasting and machine learning prediction. Methods discussed herein
are commonplace in machine learning, and have been cited in various
literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib
Ben. "Machine learning strategies for multi-step-ahead time series
forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. &lt;<a
href="http://souhaib-bentaieb.com/pdf/2014_phd.pdf">http://souhaib-bentaieb.com/pdf/2014_phd.pdf</a>&gt;.


[FILE:103:distinfo]
37effe7aa495776373e14cd719243b3ab7b1bde43dd29eb12966419782093300      3344703 CRAN/timetk_2.2.0.tar.gz