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: 0.2.1
Depends: R (≥ 3.2.3), Rcpp (≥ 0.12.0)
Imports: dplyr (≥ 0.5.0), extraDistr, ggplot2, grid, rstan (≥ 2.14.0), scales, stats, tidyr (≥ 0.6.1)
Suggests: knitr, testthat, readr
Published: 2017-11-08
Author: Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer: Sean Taylor <sjt at>
License: BSD_3_clause + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
In views: TimeSeries
CRAN checks: prophet results


Reference manual: prophet.pdf
Vignettes: Quick Start Guide to Using Prophet
Package source: prophet_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: prophet_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: prophet_0.2.1.tgz
Old sources: prophet archive


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