2017-02-22 23:59:43 +00:00
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Package: prophet
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Title: Automatic Forecasting Procedure
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2017-10-11 04:24:23 +00:00
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Version: 0.2.0.9000
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2017-09-02 20:28:30 +00:00
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Date: 2017-09-02
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2017-02-22 23:59:43 +00:00
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Authors@R: c(
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person("Sean", "Taylor", email = "sjt@fb.com", role = c("cre", "aut")),
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person("Ben", "Letham", email = "bletham@fb.com", role = "aut")
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)
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Description: Implements a procedure for forecasting time series data based on
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2017-09-12 16:31:34 +00:00
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an additive model where non-linear trends are fit with yearly and weekly
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seasonality, plus holidays. It works best with daily periodicity data with
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at least one year of historical data. Prophet is robust to missing data,
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shifts in the trend, and large outliers.
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2017-02-22 23:59:43 +00:00
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Depends:
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R (>= 3.2.3),
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Rcpp (>= 0.12.0)
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Imports:
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dplyr (>= 0.5.0),
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extraDistr,
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ggplot2,
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grid,
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2017-03-05 15:09:18 +00:00
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rstan (>= 2.14.0),
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scales,
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stats,
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2017-07-30 01:56:56 +00:00
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tidyr (>= 0.6.1)
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2017-02-22 23:59:43 +00:00
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Suggests:
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knitr,
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testthat,
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readr
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License: BSD_3_clause + file LICENSE
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LazyData: true
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2017-07-04 08:12:22 +00:00
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RoxygenNote: 6.0.1
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2017-02-22 23:59:43 +00:00
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VignetteBuilder: knitr
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2017-09-12 16:31:34 +00:00
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SystemRequirements: C++11
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