Alternatives and similar repositories for stlplus

Users that are interested in stlplus are comparing it to the libraries listed below

• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 10 months ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• cynkra / tempdisagg
  Methods for Temporal Disaggregation and Interpolation of Time Series
  ☆41Updated last week
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated last week
• robjhyndman / anomalous
  Anomalous time series package for R
  ☆93Updated 7 years ago
• rkillick / changepoint
  A place for the development version of the changepoint package on CRAN.
  ☆138Updated 11 months ago
• bearloga / maltese
  Little R utility package for making time series data more machine learning-friendly
  ☆49Updated 5 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• pridiltal / oddstream
  oddstream {Outlier Detection in Data STREAMs}
  ☆64Updated 5 years ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• tidyverts / fasster
  Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
  ☆150Updated 3 years ago
• gravesee / isofor
  Isolation Forest implementation in R
  ☆65Updated 6 years ago
• robingenuer / VSURF
  Variable Selection Using Random Forests
  ☆40Updated last week
• hrbrmstr / AnomalyDetection
  ⏰ Anomaly Detection with R (separately maintained fork of Twitter's AnomalyDetection 📦)
  ☆91Updated 3 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 9 months ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆98Updated 3 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 3 years ago
• lantanacamara / lightgbmExplainer
  An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…
  ☆23Updated 6 years ago
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• kevinushey / RcppRoll
  Fast rolling functions through Rcpp
  ☆81Updated last year
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• robjhyndman / MEFM-package
  R package to implement the MEFM
  ☆55Updated last year
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆48Updated 3 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆76Updated last year
• cran / bsts
   This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
  ☆34Updated 2 months ago
• MonetDB / MonetDBLite-R
  MonetDB reconfigured as an R package - See below for an introduction. Edit
  ☆64Updated 3 years ago