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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: 2a57e9d342fd1c28ed1fba32d8f0dfb199c4fa02
url: https://github.com/facebook/prophet
date-released: '2024-09-29'
contact:
- family-names: Taylor
  given-names: Sean
  email: sjtz@pm.me