From a6d96f849c5c47fd05bf63e48b0b30558b1d1ba0 Mon Sep 17 00:00:00 2001 From: bl Date: Wed, 30 May 2018 17:20:20 -0700 Subject: [PATCH] Move paper reference --- README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index d9bb08f..02c4a90 100644 --- a/README.md +++ b/README.md @@ -6,8 +6,6 @@ Prophet is a procedure for forecasting time series data based on an additive mod Prophet is [open source software](https://code.facebook.com/projects/) released by Facebook's [Core Data Science team](https://research.fb.com/category/data-science/). It is available for download on [CRAN](https://cran.r-project.org/package=prophet) and [PyPI](https://pypi.python.org/pypi/fbprophet/). -The method is described in the paper: Sean J. Taylor, Benjamin Letham (2018) Forecasting at scale. The American Statistician 72(1):37-45. - ## Important links @@ -18,7 +16,7 @@ The method is described in the paper: Sean J. Taylor, Benjamin Letham (2018) For - Prophet R package: https://cran.r-project.org/package=prophet - Prophet Python package: https://pypi.python.org/pypi/fbprophet/ - Release blogpost: https://research.fb.com/prophet-forecasting-at-scale/ -- Prophet paper, "Forecasting at Scale": https://peerj.com/preprints/3190.pdf +- Prophet paper:Sean J. Taylor, Benjamin Letham (2018) Forecasting at scale. The American Statistician 72(1):37-45 (https://peerj.com/preprints/3190.pdf). ## Installation in R