# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "prophet" in publications use:' type: software license: MIT title: 'prophet: Automatic Forecasting Procedure' version: 1.1.6 doi: 10.32614/CRAN.package.prophet abstract: 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. authors: - family-names: Taylor given-names: Sean email: sjtz@pm.me - family-names: Letham given-names: Ben email: bletham@fb.com repository: https://r-multiverse.r-universe.dev repository-code: https://github.com/facebook/prophet commit: a0d1ddf27572ae9e16d6ecac1e5c485a9f9aabe2 url: https://github.com/facebook/prophet date-released: '2024-09-29' contact: - family-names: Taylor given-names: Sean email: sjtz@pm.me