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39 search results found

Modeltime ⭐ 483

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

Tsstudio ⭐ 412

Tools for time series analysis and forecasting

R code for Time Series Analysis and Its Applications, Ed 4

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

Intercessor ⭐ 105

A smart ware-house management system

Berlin Time Series Analysis Repository

Hands On Time Series Analysis With R ⭐ 77

Hands-On-Time-Series-Analysis-with-R

Financial Asset Comparison Tool ⭐ 71

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

TSrepr: R package for time series representations

Timeseries_sp500_r ⭐ 41

Modeltime.h2o ⭐ 38

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

This is the dev site for the dplR package in R

Transferentropy ⭐ 31

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

Field observation quick analysis toolkit

Vltimeseriescausality ⭐ 27

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

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

Coronadash ⭐ 17

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

Time Series for Data Science - R Code used in Time Series: A Data Analysis Approach Using R

Healthyr.ts ⭐ 16

A time-series companion package to healthyR

Automatic Time Series Forecasting and Missing Values Imputation

Timeseries ⭐ 14

CRAN Task View: Time Series Analysis

Time_series_anomaly_detection_examples ⭐ 13

Several examples of anomaly detection algorithms for time series data.

Econometric Algorithms ⭐ 10

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

Wqtrends ⭐ 10

R package to assess water quality trends with generalized additive models

An R package to detect collective spatio-temporal phenomena

Multitaper ⭐ 9

Multitaper R package available on CRAN

📓 "An Introduction to Time Series Analysis with R" is a text which is currently under development and aims at giving readers a general overview of the main aspects that characterise time series and the most common tools used for their analysis.

Cc Time Series ⭐ 8

Intro to time series analysis in R

Stochastic Volatility Models ⭐ 8

R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Trend And PeAkS (TAPAS) analysis of temporal series (e.g. paleoecological records) to assess long-term trend and detect events (and eventually estimate event-return intervals)

Clusterforecast ⭐ 7

Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

Sparklyr.flint ⭐ 7

Sparklyr extension making Flint time series library functionalities (https://github.com/twosigma/flint) easily accessible through R

Multitaper ⭐ 6

multitaper R package

Eventsvis ⭐ 6

A tool for analyzing and visualizing discrete temporal events

Temporal clustering and tracking algorithm which fuses on FlowSOM and ChronoClust, specifically designed for analysing temporal cytometry data

Tsforecasting Course ⭐ 5

Time Series Forecasting: Machine Learning and Deep Learning with R & Python

The gmwmx R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX)

Time Series Analysis ⭐ 5

time-series with R/SAS

Reservoirr ⭐ 5

Experimental R interface for ReservoirPy

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

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