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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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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: 50d3f8b69cf21df0971120af3e5a0da80c0f5994
url: https://github.com/facebook/prophet
date-released: '2024-09-29'
contact:
- family-names: Taylor
  given-names: Sean
  email: sjtz@pm.me