Bringing financial analysis to the tidyverse

Quantitative Financial Modelling Framework

Time series analysis in the `tidyverse`

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

Tools for time series analysis and forecasting

Tidy anomaly detection

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

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

R Package for Time Series Clustering Along with Optimizations for DTW

Time series features

Extensible time series class that provides uniform handling of many R time series classes by extending zoo.

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.

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.

Time-aware tibbles

Applied Time Series Analysis and Forecasting

CRAN R Package: Time Series Missing Value Imputation

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Extending broom for time series forecasting

tsbox: Class-Agnostic Time Series in R

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