timetk: A Tool Kit for Working with Time Series

Canonical link: https://rscholar.com/pkg/timetk

Matt Dancho • Davis Vaughan • View description and downloads View dependencies GitHub project

2017 Published

2.9.0 Version

0 Citations

2 Authors

Referenced by ⇅	Year
modeltime.gluonts: "GluonTS" Deep Learning (Version 0.1.0)	2020
modeltime.h2o: Modeltime "H2O" Machine Learning (Version 0.1.1)	2021
sknifedatar: Swiss Knife of Data (Version 0.1.2)	2021
FFdownload: Download Data from Kenneth French's Website (Version 1.1.1)	2020
PortalHacienda: Acceder Con R a Los Datos Del Portal De Hacienda (Version 0.1.7)	2020
RTL: Risk Tool Library - Trading, Risk, 'Analytics' for Commodities (Version 1.3.5)	2020
alphavantager: Lightweight Interface to the Alpha Vantage API (Version 0.1.3)	2017
anomalize: Tidy Anomaly Detection (Version 0.3.0)	2018
cleanTS: Testbench for Univariate Time Series Cleaning (Version 0.1.2)	2021
finnts: Microsoft Finance Time Series Forecasting Framework (Version 0.5.0)	2022
healthyR: Hospital Data Analysis Workflow Tools (Version 0.2.2)	2020
healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.0)	2021
healthyR.ts: The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)	2021
iForecast: Machine Learning Time Series Forecasting (Version 1.0.9)	2020
modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime (Version 1.0.4)	2020
modeltime.resample: Resampling Tools for Time Series Forecasting (Version 0.2.3)	2020
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.1)	2020
sweep: Tidy Tools for Forecasting (Version 0.2.5)	2017
tidyquant: Tidy Quantitative Financial Analysis (Version 1.0.9)	2016
tsgc: Time Series Methods Based on Growth Curves (Version 0.0)	2024

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.