robjhyndman / expsmooth
Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).
☆14Updated last year
Related projects: ⓘ
- Fast and Simple Object Serialization to Protocol Buffers☆48Updated last week
- Web Development for R Users☆9Updated 6 years ago
- Information Value CRAN Pkg: Performance Analysis and companion functions that aid binary classification models like that of logistic regr…☆16Updated 3 years ago
- Data from the M-competitions☆12Updated 2 months ago
- R bindings to apache arrow☆32Updated 6 years ago
- Store, append, read large lists in R without loading whole data into memory.☆14Updated 7 years ago
- Quickly transform data.frames into onehot encoded matrices☆11Updated 5 years ago
- R Installer Package for Pre-Built X-13ARIMA-SEATS Binaries☆10Updated 2 months ago
- Convert trained XGBoost model object in R to SQL script☆22Updated 2 years ago
- ☆13Updated this week
- Time Series Forecasting Using KNN☆10Updated 9 months ago
- R Interface to MLeap☆24Updated last year
- The Mechanics of ggplot2☆16Updated 6 years ago
- Paper on linear hierarchical forecasting☆10Updated 3 years ago
- ☆10Updated this week
- Gower's distance for R☆29Updated 3 months ago
- An R package for reading from and writing to a PostgreSQL database☆14Updated 5 years ago
- Fast generalised linear models by sampling and one-step polishing☆20Updated 5 years ago
- Metrics for scoring machine learning models in R☆22Updated 7 years ago
- Tools to aid coding in the R 'parallel' package.☆40Updated last year
- A reimplementation of the fastLm function of RcppEigen for big.matrix objects for fast out-of-memory linear model fitting☆13Updated 7 years ago
- ☆14Updated 6 years ago
- Open source platform for the complete machine learning lifecycle☆15Updated 6 years ago
- Fast, tidy functions for mcmc diagnostics and summaries, built with data.table☆24Updated 2 years ago
- Solve Sudokus with R, GLPK, shiny and ompr☆19Updated 6 years ago
- An R package allowing efficient use of std::vector in Rcpp☆16Updated 5 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 2 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆24Updated 5 years ago
- ☆61Updated 4 years ago
- R package exposing the rapidjsonr c++ header-only library☆17Updated 4 months ago