mirror of
https://github.com/saymrwulf/prophet.git
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25e2b88765
+ cleans up Stan model compilation by switching over to the rstantools-based workflow (see https://mc-stan.org/rstantools/articles/minimal-rstan-package.html for more info) + minor documentation change: {devtools} -> {remotes}, which is better for end-users + adds RStudio project file which makes it easier for community to get started with contributing to the package
51 lines
1.4 KiB
Text
51 lines
1.4 KiB
Text
Package: prophet
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Title: Automatic Forecasting Procedure
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Version: 0.6
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Date: 2020-02-10
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Authors@R: c(
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person("Sean", "Taylor", email = "sjtz@pm.me", 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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an additive model where non-linear trends are fit with yearly, weekly, and
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daily seasonality, plus holiday effects. It works best with time series
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that have strong seasonal effects and several seasons of historical data.
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Prophet is robust to missing data and shifts in the trend, and typically
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handles outliers well.
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URL: https://github.com/facebook/prophet
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BugReports: https://github.com/facebook/prophet/issues
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Depends:
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R (>= 3.4.0),
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Rcpp (>= 0.12.0),
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rlang (>= 0.3.0.1)
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Imports:
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dplyr (>= 0.7.7),
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dygraphs (>= 1.1.1.4),
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extraDistr,
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ggplot2,
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grid,
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methods,
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rstan (>= 2.18.1),
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rstantools (>= 2.0.0),
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scales,
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stats,
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tidyr (>= 0.6.1),
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xts
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Suggests:
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knitr,
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testthat,
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readr,
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rmarkdown
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SystemRequirements: GNU make, C++11
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Biarch: true
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License: MIT + file LICENSE
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LinkingTo:
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BH (>= 1.66.0),
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Rcpp (>= 0.12.0),
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RcppEigen (>= 0.3.3.3.0),
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rstan (>= 2.18.1),
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StanHeaders (>= 2.18.0)
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LazyData: true
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VignetteBuilder: knitr
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Encoding: UTF-8
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RoxygenNote: 7.1.0
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