Alternatives and similar repositories for forecastHybrid

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

• tidyverts / fasster
  Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
  ☆149Updated 2 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆110Updated 7 months ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆93Updated last week
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆96Updated 3 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• bearloga / maltese
  Little R utility package for making time series data more machine learning-friendly
  ☆49Updated 5 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆47Updated 2 years ago
• gravesee / isofor
  Isolation Forest implementation in R
  ☆65Updated 5 years ago
• praktiskt / featuretoolsR
  An R interface to the Python module Featuretools
  ☆50Updated 5 years ago
• business-science / sweep
  Extending broom for time series forecasting
  ☆155Updated last year
• christophsax / seasonal
  R interface to X-13ARIMA-SEATS
  ☆122Updated 5 months ago
• h2oai / rsparkling
  RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
  ☆62Updated 7 years ago
• mitchelloharawild / fable.prophet
  fable extension for the prophet forecasting procedure
  ☆57Updated last year
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 5 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• openml / openml-r
  R package to interface with OpenML
  ☆99Updated last year
• imanuelcostigan / RSQLServer
  SQL Server DBI for R, based on the jTDS driver
  ☆82Updated 7 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆26Updated 6 years ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆48Updated 5 years ago
• jbkunst / r-posts
  Some R scripts and some R ideas
  ☆50Updated 6 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 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
• pbiecek / breakDown
  Model Agnostics breakDown plots
  ☆103Updated last year
• robjhyndman / Half-day-forecasting-workshop
  Forecasting workshop for ACEMS 2018
  ☆37Updated 7 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago