R-Time-Series-Task-View-Supplement
R Time series packages not included in CRAN Task View: Time Series Analysis (by Beliavsky)
modeltime.h2o
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting. (by business-science)
| R-Time-Series-Task-View-Supplement | modeltime.h2o | |
|---|---|---|
| 1 | 1 | |
| 2 | 38 | |
| - | - | |
| 8.2 | 5.4 | |
| 6 days ago | 5 months ago | |
| R | ||
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
R-Time-Series-Task-View-Supplement
Posts with mentions or reviews of R-Time-Series-Task-View-Supplement.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-03.
-
R packages for finance
The R packages I have used most are quantmod and packages for GARCH such as rugarch and packages for vector autoregressions, listed in the Time Series task view , another task view for which I have created a supplement.
modeltime.h2o
Posts with mentions or reviews of modeltime.h2o.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-08.
What are some alternatives?
When comparing R-Time-Series-Task-View-Supplement and modeltime.h2o you can also consider the following projects:
tslearn - The machine learning toolkit for time series analysis in Python
modeltime.gluonts - GluonTS Deep Learning with Modeltime
timemachines - Predict time-series with one line of code.
modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime
modeltime - Modeltime unlocks time series forecast models and machine learning in one framework
modeltime.ensemble - Time Series Ensemble Forecasting
boostime - The Tidymodels Extension for Time Series Boosting Models