prophet

Automatic Forecasting Procedure

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.

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Description file content

Package
prophet
Title
Automatic Forecasting Procedure
Version
0.5
Date
2019-05-15
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), rlang (>= 0.3.0.1)
Imports
dplyr (>= 0.7.7), 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
URL
BugReports
https://github.com/facebook/prophet/issues
LazyData
true
RoxygenNote
6.1.1
VignetteBuilder
knitr
SystemRequirements
C++11
Encoding
UTF-8
NeedsCompilation
yes
Packaged
2019-05-14 06:02:42 UTC; sjt
Author
Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer
Sean Taylor
Repository
CRAN
Date/Publication
2019-05-14 21:50:03 UTC

install.packages('prophet')

0.5

8 days ago

https://github.com/facebook/prophet

Sean Taylor

BSD_3_clause + file LICENSE

Depends on

R (>= 3.2.3), Rcpp (>= 0.12.0), rlang (>= 0.3.0.1)

Imports

dplyr (>= 0.7.7), dygraphs (>= 1.1.1.4), extraDistr, ggplot2, grid, rstan (>= 2.14.0), scales, stats, tidyr (>= 0.6.1), xts

Suggests

knitr, testthat, readr

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