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.
Version: 1.0 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 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) Suggests: knitr, testthat, readr, rmarkdown Published: 2021-03-30 DOI: 10.32614/CRAN.package.prophet Author: Sean Taylor [cre, aut], Ben Letham [aut] Maintainer: Sean Taylor <sjtz at pm.me> BugReports: https://github.com/facebook/prophet/issues License: MIT + file LICENSE URL: https://github.com/facebook/prophet NeedsCompilation: yes SystemRequirements: GNU make, C++11 In views: MissingData, TimeSeries CRAN checks: prophet results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=prophet to link to this page.
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