config-i1 / smooth
The set of functions used for time series analysis and in forecasting.
☆90Updated this week
Alternatives and similar repositories for smooth:
Users that are interested in smooth are comparing it to the libraries listed below
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 5 years ago
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆150Updated 2 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- fable extension for the prophet forecasting procedure☆56Updated last year
- Hierarchical and Grouped Time Series☆111Updated 3 months ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 2 years ago
- General fable features useful for extension packages☆91Updated 2 months ago
- An R wrapper of SHAP python library☆59Updated last year
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆74Updated 5 months ago
- Extra recipes for predictor embeddings☆142Updated 2 months ago
- Blog about time series data mining in R.☆74Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- Temporal HIErarchical Forecasting☆47Updated last year
- An R interface to the Python module Featuretools☆49Updated 4 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆94Updated 2 years ago
- Extending broom for time series forecasting☆155Updated last year
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆109Updated last month
- An R implementation of TabNet☆110Updated this week
- Feature Extraction And Statistics for Time Series☆302Updated 5 months ago
- Structure mining for xgboost model☆26Updated 4 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 6 months ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆26Updated last month
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆47Updated 5 years ago
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 2 years ago
- Time Series Ensemble Forecasting☆78Updated 9 months ago
- R interface to JDemetra+ v 2.x☆54Updated last month
- Automated Feature Selection☆65Updated 6 years ago
- Isolation Forest implementation in R☆65Updated 5 years ago
- miceRanger: Fast Imputation with Random Forests in R☆68Updated 2 years ago
- shiny-mlr: Integration of the mlr package into shiny☆93Updated 6 years ago