Encapsulated object-oriented programming for R

Vectorised distributions for R

Forecasting Functions for Time Series and Linear Models

Recipes Steps for Supervised Filter-Based Feature Selection

Resampling Tools for Time Series Forecasting with Modeltime

Time series analysis in the `tidyverse`

Time Series Ensemble Forecasting

GluonTS Deep Learning with Modeltime

NeuralProphet Algorithm in R for Tidymodels

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

The Tidymodels Extension for Time Series Boosting Models

Parsnip backends for `tree`, `lightGBM` and `Catboost`

The Tidymodels Extension for Bayesian Models

The Tidymodels Extension for GARCH models

The parsnip backend for GAM Models.

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

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

Get You to Your Desired Plot Faster

R package to get lyrics from Genius.

Shiny Gadget to Use the Data Preprocessing 'recipes' Package Interactively

R package to Get OMDB API Multiple Information

R Package to Get Multiple Information from Spotify API.