modeltime.ensemble VS Econometrics-on-Stock-Data

Compare modeltime.ensemble vs Econometrics-on-Stock-Data and see what are their differences.

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modeltime.ensemble Econometrics-on-Stock-Data
1 1
71 3
- -
7.6 2.4
5 months ago 3 months ago
R R
GNU General Public License v3.0 or later MIT License
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.

modeltime.ensemble

Posts with mentions or reviews of modeltime.ensemble. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-08.

Econometrics-on-Stock-Data

Posts with mentions or reviews of Econometrics-on-Stock-Data. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing modeltime.ensemble and Econometrics-on-Stock-Data you can also consider the following projects:

fable - Tidy time series forecasting

TTR - Technical analysis and other functions to construct technical trading rules with R

modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime

quantmod - Quantitative Financial Modelling Framework

boostime - The Tidymodels Extension for Time Series Boosting Models

tidyquant - Bringing financial analysis to the tidyverse

forecast - Forecasting Functions for Time Series and Linear Models

fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

timetk - Time series analysis in the `tidyverse`

copent - R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

Valuation-Models - Valuing each of the Dow 30 companies, pricing the Dow based off the estimates.