Forecasting Functions for Time Series and Linear Models

Time series analysis in the `tidyverse`

Extending broom for time series forecasting

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

The set of functions used for time series analysis and in forecasting.

Time Series Ensemble Forecasting

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophet)

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

Echo State Networks for Time Series Forecasting

In this work, we use S-gene target failure (SGTF) as a proxy of variant status combined with reported case counts to explore the evidence for changes in transmission advantage over time for the Omicron variant. If present this could indicate the impact of immune escape, bias in SGTF data or differences in the populations within which the variant…

Time series forecasting for common inflators and economic indices using the forecast package in R.

Brazilian PIB (GDP) time series analysis.

ATAforecasting Package for R - Automatic Time Series Analysis and Forecasting using Ata Method

A Shiny app in R to democratise the more in-depth risk-aware quantitative study of price stocks.

Cambridge UK temperature forecast R models

Probabilistic Wind Power Forecasting with R

Fable Modelling Wrappers for ATAforecasting Package