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- Package: prophet
- Title: Automatic Forecasting Procedure
- Version: 0.3.0.1
- Date: 2018-06-13
- Authors@R: c(
- person("Sean", "Taylor", email = "sjt@fb.com", role = c("cre", "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.
- Depends:
- R (>= 3.2.3),
- Rcpp (>= 0.12.0)
- Imports:
- dplyr (>= 0.5.0),
- dygraphs (>= 1.1.1.4),
- extraDistr,
- ggplot2,
- grid,
- rstan (>= 2.14.0),
- scales,
- stats,
- tidyr (>= 0.6.1),
- xts
- Suggests:
- knitr,
- testthat,
- readr
- License: BSD_3_clause + file LICENSE
- LazyData: true
- RoxygenNote: 6.1.1
- VignetteBuilder: knitr
- SystemRequirements: C++11
- Encoding: UTF-8
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