Alternatives and similar repositories for dtwclust

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

• rkillick / changepoint
  A place for the development version of the changepoint package on CRAN.
  ☆137Updated 10 months ago
• helske / seqHMM
  Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
  ☆100Updated last month
• tidyverts / feasts
  Feature Extraction And Statistics for Time Series
  ☆306Updated 2 months ago
• amices / mice
  Multivariate Imputation by Chained Equations
  ☆490Updated 3 weeks ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆283Updated last year
• kogalur / randomForestSRC
  DOCUMENTATION:
  ☆129Updated 2 weeks ago
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆189Updated last month
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆170Updated this week
• AtherEnergy / ggTimeSeries
  Time series visualisation
  ☆261Updated 3 years ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆113Updated 3 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆501Updated 8 months ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆257Updated 7 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆286Updated 9 months ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 9 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated 10 months ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated last week
• m-clark / Miscellaneous-R-Code
  Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…
  ☆196Updated 4 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• liuyanguu / SHAPforxgboost
  SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'
  ☆125Updated last year
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 5 years ago
• ModelOriented / randomForestExplainer
  A set of tools to understand what is happening inside a Random Forest
  ☆237Updated last year
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago
• jMotif / jmotif-R
  SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)
  ☆55Updated this week
• robjhyndman / anomalous-acm
  Anomalous time series package for R (ACM)
  ☆119Updated 7 years ago
• thomasp85 / lime
  Local Interpretable Model-Agnostic Explanations (R port of original Python package)
  ☆489Updated 3 years ago
• robingenuer / VSURF
  Variable Selection Using Random Forests
  ☆40Updated this week
• AdrianAntico / AutoQuant
  R package for automation of machine learning, forecasting, model evaluation, and model interpretation
  ☆246Updated this week