prophet: Automatic Forecasting Procedure

Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers.

Version: 0.1
Depends: R (≥ 3.2.3), Rcpp (≥ 0.12.0)
Imports: dplyr (≥ 0.5.0), extraDistr, ggplot2, grid, rstan, scales, stats, tidyr, utils, zoo
Suggests: knitr, testthat, readr
Published: 2017-02-01
Author: Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer: Sean Taylor <sjt at fb.com>
License: BSD_3_clause + file LICENSE
NeedsCompilation: yes
In views: TimeSeries
CRAN checks: prophet results

Downloads:

Reference manual: prophet.pdf
Vignettes: Quick Start Guide to Using Prophet
Package source: prophet_0.1.tar.gz
Windows binaries: r-devel: prophet_0.1.zip, r-release: prophet_0.1.zip, r-oldrel: prophet_0.1.zip
OS X Mavericks binaries: r-release: prophet_0.1.tgz, r-oldrel: prophet_0.1.tgz

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