prophet/R/DESCRIPTION

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: 6.1.0
VignetteBuilder: knitr
SystemRequirements: C++11
Encoding: UTF-8
Initial commit 2017-02-22 23:59:43 +00:00			`Package: prophet`
			`Title: Automatic Forecasting Procedure`
Version bumps before submitting new packages 2018-06-13 23:03:44 +00:00			`Version: 0.3.0.1`
			`Date: 2018-06-13`
Initial commit 2017-02-22 23:59:43 +00:00			`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`
Version bump 2018-05-31 00:02:47 +00:00			`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.`
Initial commit 2017-02-22 23:59:43 +00:00			`Depends:`
			`R (>= 3.2.3),`
			`Rcpp (>= 0.12.0)`
			`Imports:`
			`dplyr (>= 0.5.0),`
Set dygraphs min version 2018-06-02 15:39:07 +00:00			`dygraphs (>= 1.1.1.4),`
Initial commit 2017-02-22 23:59:43 +00:00			`extraDistr,`
			`ggplot2,`
			`grid,`
Require stan 2.14 or later 2017-03-05 15:09:18 +00:00			`rstan (>= 2.14.0),`
Initial commit 2017-02-22 23:59:43 +00:00			`scales,`
			`stats,`
Add xts dependency back and regen docs 2018-06-15 01:42:11 +00:00			`tidyr (>= 0.6.1),`
			`xts`
Initial commit 2017-02-22 23:59:43 +00:00			`Suggests:`
			`knitr,`
			`testthat,`
			`readr`
			`License: BSD_3_clause + file LICENSE`
			`LazyData: true`
Fix bug about holiday year different from input year and others (#670) * Allow both both hoidays and append holidays Match holidays in predict and fit Add test for append_holiday features; minor fixes Add column name validation for append_holidays names; allow only one country Fix bug about holiday year different from input year and also other bugs Change function description Add append holiday feature for R * Add test for R/Pyrhon; fix bugs 2018-10-19 00:40:17 +00:00			`RoxygenNote: 6.1.0`
Initial commit 2017-02-22 23:59:43 +00:00			`VignetteBuilder: knitr`
Changes to make R package build on windows without warnings 2017-09-12 16:31:34 +00:00			`SystemRequirements: C++11`
unaddressed warnings from unit tests (#450) * unaddressed warnings from unit tests * devtools wants Encoding set or it complains through testthat::check() 2018-04-19 00:06:39 +00:00			`Encoding: UTF-8`