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

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

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

R Shiny app to compare the relative performance of cryptos and equities.

TSrepr: R package for time series representations

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.

Maximum likelihood analysis Of animal MovemENT behavior Using multivariate Hidden Markov Models

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

Code for the paper "Estimating Transfer Entropy via Copula Entropy"

Field observation quick analysis toolkit

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

CRAN Task View: Time Series Analysis

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

A time-series companion package to healthyR

Course Material: Business Analytics and Decision Support with R

códigos e arquivos do livro Análise de Séries Temporais em R: um curso introdutório.

Solutions to the problems in Time Series Analysis with Applications in R

A tool for analyzing and visualizing discrete temporal events