Alternatives and similar repositories for tsensembler

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

• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 5 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• business-science / modeltime.gluonts
  GluonTS Deep Learning with Modeltime
  ☆42Updated last year
• gabrielrvsc / BooST
  ☆17Updated 3 years ago
• henckr / distRforest
  R implementation for random forests with distribution-based loss functions
  ☆25Updated 5 years ago
• ahaeusser / echos
  Echo State Networks for Time Series Forecasting
  ☆16Updated last week
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 2 years ago
• rbagd / dynfactoR
  Dynamic factor model estimation for R
  ☆23Updated 2 years ago
• fcbarbi / ardl
  R Package for Auto Regressive Distributed Lag time series regression.
  ☆17Updated 2 years ago
• trnnick / nnfor
  ☆30Updated last year
• cgonza12 / bmem
  convenience and plotting function working with rstan mixed effects objects
  ☆17Updated 10 years ago
• HaotianXu / changepoints
  An R Package for Change Point Localisation
  ☆12Updated last year
• RamiKrispin / USgrid
  The hourly demand and supply of electricity in the US
  ☆25Updated 4 years ago
• AlbertoAlmuinha / garchmodels
  The Tidymodels Extension for GARCH models
  ☆34Updated 2 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆90Updated this week
• robjhyndman / tscompdata
  Time series competition data
  ☆18Updated last year
• ceweiss / ForecastComb
  Forecast Combination in R
  ☆29Updated 6 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• boennecd / rollRegres
  R package for fast rolling and expanding linear regression models
  ☆22Updated 3 years ago
• danigiro / FoReco
  Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…
  ☆34Updated this week
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆44Updated last year
• tiagomendesdantas / Bagged.Cluster.ETS
  Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time ser…
  ☆11Updated 5 years ago
• mfasiolo / qgam
  Additive quantile regression R package
  ☆34Updated last month
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 5 months ago
• franciscomartinezdelrio / tsfknn
  Time Series Forecasting Using KNN
  ☆11Updated last year
• business-science / modeltime.ensemble
  Time Series Ensemble Forecasting
  ☆79Updated 10 months ago
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆57Updated 2 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated 11 months ago
• frehbach / EventDetectR
  EventDetectR is an R-package for detecting/classifiying events in time-series data. It aims to combine multiple well-known R-packages li…
  ☆14Updated 4 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆44Updated 9 months ago