prophet/R/DESCRIPTION
Nagi Teramo 14d5028a73 Implement metrics for time series forecasts (#384)
* Add metrics for model validation

* Update to reflect comments on Github

* Change all_metrics() implementation to more sophisticated style

* Update metrics functions

* Remove redundant argument

* Use v0.3 files for diagnostics.R and prophet.R

* Use v0.3 file for man/predict.prophet.Rd

* Change the interface and do some refactoring
2018-01-05 16:05:58 -08:00

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Package: prophet
Title: Automatic Forecasting Procedure
Version: 0.2.1.9000
Date: 2017-11-08
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 and weekly
seasonality, plus holidays. It works best with daily periodicity data with
at least one year of historical data. Prophet is robust to missing data,
shifts in the trend, and large outliers.
Depends:
R (>= 3.2.3),
Rcpp (>= 0.12.0)
Imports:
dplyr (>= 0.5.0),
dygraphs,
extraDistr,
ggplot2,
grid,
rstan (>= 2.14.0),
scales,
stats,
tidyr (>= 0.6.1),
utils,
purrr,
rlang,
xts
Suggests:
knitr,
testthat,
readr
License: BSD_3_clause + file LICENSE
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
SystemRequirements: C++11