Tidy time series forecasting in
R
.
Mission: Our number 1 goal is to make high-performance time series analysis easier, faster, and more scalable. Modeltime solves this with a simple to use infrastructure for modeling and forecasting time series.
For those that prefer video tutorials, we have an 11-minute YouTube Video that walks you through the Modeltime Workflow.
(Click to Watch on YouTube)
Getting Started with
Modeltime:
A walkthrough of the 6-Step Process for using modeltime
to forecast
Modeltime
Documentation: Learn
how to use modeltime
, find Modeltime Models, and
extend modeltime
so you can use new algorithms inside the
Modeltime Workflow.
CRAN version:
install.packages("modeltime", dependencies = TRUE)
Development version:
remotes::install_github("business-science/modeltime", dependencies = TRUE)
Modeltime unlocks time series models and machine learning in one framework
No need to switch back and forth between various frameworks. modeltime
unlocks machine learning & classical time series analysis.
arima_reg()
,
arima_boost()
, & exp_smoothing()
).prophet_reg()
&
prophet_boost()
)parsnip
model: rand_forest()
,
boost_tree()
, linear_reg()
, mars()
, svm_rbf()
to forecastA streamlined workflow for forecasting
Modeltime incorporates a streamlined workflow (see Getting Started with Modeltime) for using best practices to forecast.
A streamlined workflow for forecasting
Learn a growing ecosystem of forecasting packages
The modeltime ecosystem is growing
Modeltime is part of a growing ecosystem of Modeltime forecasting packages.
Modeltime is an amazing ecosystem for time series forecasting. But it can take a long time to learn:
Your probably thinking how am I ever going to learn time series forecasting. Here’s the solution that will save you years of struggling.
Become the forecasting expert for your organization
High-Performance Time Series Course
Time series is changing. Businesses now need 10,000+ time series forecasts every day. This is what I call a High-Performance Time Series Forecasting System (HPTSF) - Accurate, Robust, and Scalable Forecasting.
High-Performance Forecasting Systems will save companies by improving accuracy and scalability. Imagine what will happen to your career if you can provide your organization a “High-Performance Time Series Forecasting System” (HPTSF System).
I teach how to build a HPTFS System in my High-Performance Time Series Forecasting Course. You will learn:
Modeltime
- 30+
Models (Prophet, ARIMA, XGBoost, Random Forest, & many more)GluonTS
(Competition Winners)Become the Time Series Expert for your organization.
Take the High-Performance Time Series Forecasting Course
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