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@@ -7,10 +7,10 @@ Authors@R: c(
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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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- 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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+ 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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Depends:
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R (>= 3.2.3),
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Rcpp (>= 0.12.0)
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@@ -31,3 +31,4 @@ License: BSD_3_clause + file LICENSE
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LazyData: true
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RoxygenNote: 6.0.1
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VignetteBuilder: knitr
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+SystemRequirements: C++11
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