Forecasting Functions for Time Series and Linear Models

Time series analysis in the `tidyverse`

Tidy time series forecasting

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

Tools for time series analysis and forecasting

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

Applied Time Series Analysis and Forecasting

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp2/>. All packages required to run the examples are also loaded.

MSGARCH R Package

Time Series Ensemble Forecasting

demography package for R

The Tidymodels Extension for Time Series Boosting Models

The Tidymodels Extension for Bayesian Models

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

Utilities for Scoring and Assessing Predictions