CRAN/E | prophet

prophet

Automatic Forecasting Procedure

Installation

About

Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

github.com/facebook/prophet
System requirements GNU make, C++11
Bug report File report

Key Metrics

Version 1.0
R ≥ 3.4.0
Published 2021-03-30 1095 days ago
Needs compilation? yes
License MIT
License File
CRAN checks prophet results

Downloads

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Maintainer

Maintainer

Sean Taylor

sjtz@pm.me

Authors

Sean Taylor

cre / aut

Ben Letham

aut

Material

Reference manual
Package source

In Views

MissingData
TimeSeries

Vignettes

Quick Start Guide to Using Prophet

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

prophet archive

Depends

R ≥ 3.4.0
Rcpp ≥ 0.12.0
rlang ≥ 0.3.0.1

Imports

dplyr ≥ 0.7.7
dygraphs ≥ 1.1.1.4
extraDistr
ggplot2
grid
lubridate
methods
RcppParallel ≥ 5.0.1
rstan ≥2.18.1
rstantools ≥ 2.0.0
scales
StanHeaders
stats
tidyr ≥ 0.6.1
xts

Suggests

knitr
testthat
readr
rmarkdown

LinkingTo

BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppParallel ≥ 5.0.1
RcppEigen ≥ 0.3.3.3.0
rstan ≥ 2.18.1
StanHeaders ≥2.18.0

Reverse Imports

autoTS
bayesforecast
fable.prophet
modeltime
promotionImpact
Robyn