robjhyndman / anomalous-acmLinks
Anomalous time series package for R (ACM)
☆119Updated 7 years ago
Alternatives and similar repositories for anomalous-acm
Users that are interested in anomalous-acm are comparing it to the libraries listed below
Sorting:
- Anomalous time series package for R☆93Updated 7 years ago
- Information Package☆44Updated 9 years ago
- Gradient boosted models☆147Updated last year
- R library for converting R models to PMML☆74Updated 3 weeks ago
- An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes☆140Updated 8 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- ☆88Updated 9 years ago
- Temporal HIErarchical Forecasting☆47Updated 2 years ago
- Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory☆91Updated 10 years ago
- ☆78Updated 10 years ago
- Implement feature hashing with R☆97Updated 2 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- An R package for better visualizing a statistical learning model☆35Updated 3 weeks ago
- caret models all the way down☆228Updated 3 weeks ago
- Notes on generalized linear models☆110Updated 7 years ago
- Hierarchical and Grouped Time Series☆112Updated last year
- Exploratory and diagnostic machine learning tools for R☆74Updated 4 years ago
- Seasonal-Trend Decomposition using Loess (STL) in R☆64Updated 2 years ago
- An R package that makes xgboost models fully interpretable☆258Updated 7 years ago
- Advanced High Performance Data Science Toolbox for R by Laurae☆205Updated 8 years ago
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆314Updated 4 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆286Updated last year
- Recommender System Using Parallel Matrix Factorization☆85Updated 2 years ago
- R package for Customer Behavior Analysis☆189Updated last year
- Files for Modern Statistical Workflow workshop☆10Updated 9 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- R Interface for LightGBM☆46Updated 8 years ago
- Exploratory data analysis for large datasets (10-100 million observations)☆289Updated 10 years ago
- R package for exploratory data analysis☆119Updated 8 years ago