Package: prophet Title: Automatic Forecasting Procedure Version: 1.2.2 Date: 2026-01-25 Authors@R: c( person("Cuong", "Duong", email = "cuong.duong242@gmail.com", role = c("cre", "aut")), person("Sean", "Taylor", email = "sjtz@pm.me", role = "aut"), person("Ben", "Letham", email = "bletham@fb.com", role = "aut") ) Description: 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. URL: https://github.com/facebook/prophet BugReports: https://github.com/facebook/prophet/issues 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: cmdstanr, posterior, knitr, testthat, readr, rmarkdown Additional_repositories: https://stan-dev.r-universe.dev SystemRequirements: GNU make, C++17 Biarch: true License: MIT + file LICENSE 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) VignetteBuilder: knitr Encoding: UTF-8 RoxygenNote: 7.2.0 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://facebook.r-universe.dev Date/Publication: 2026-10-22 11:32:06 UTC RemoteUrl: https://github.com/facebook/prophet RemoteRef: HEAD RemoteSha: 5cf15c0f6e5d5259d9dd8d511fb4e15a45884cdc RemoteSubdir: R NeedsCompilation: yes Packaged: 2026-10-22 19:35:58 UTC; root Author: Cuong Duong [cre, aut], Sean Taylor [aut], Ben Letham [aut] Maintainer: Cuong Duong