Alternatives and similar repositories for dtwclust:

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

• tidyverts / feasts
  Feature Extraction And Statistics for Time Series
  ☆298Updated 2 months ago
• amices / mice
  Multivariate Imputation by Chained Equations
  ☆454Updated 2 weeks ago
• ModelOriented / randomForestExplainer
  A set of tools to understand what is happening inside a Random Forest
  ☆231Updated 9 months ago
• rkillick / changepoint
  A place for the development version of the changepoint package on CRAN.
  ☆129Updated last month
• kogalur / randomForestSRC
  DOCUMENTATION:
  ☆121Updated this week
• stekhoven / missForest
  missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.
  ☆91Updated last year
• AtherEnergy / ggTimeSeries
  Time series visualisation
  ☆253Updated 2 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆253Updated 6 years ago
• tidyverts / fable
  Tidy time series forecasting
  ☆565Updated last month
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆131Updated 4 years ago
• tystan / deltacomp
  Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional compon…
  ☆11Updated last year
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆187Updated last year
• business-science / anomalize
  Tidy anomaly detection
  ☆339Updated last year
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆175Updated 6 years ago
• pridiltal / ctv-AnomalyDetection
  CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
  ☆110Updated last year
• stan-dev / rstanarm
  rstanarm R package for Bayesian applied regression modeling
  ☆390Updated 6 months ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆273Updated 11 months ago
• liuyanguu / SHAPforxgboost
  SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'
  ☆109Updated 9 months ago
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 7 years ago
• robjhyndman / M4metalearning
  ☆116Updated 5 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…
  ☆284Updated last week
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆72Updated 2 months ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 2 years ago
• matrix-profile-foundation / tsmp
  R Functions implementing UCR Matrix Profile Algorithm
  ☆71Updated 2 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆75Updated last year
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆326Updated 8 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆142Updated 7 years ago
• jMotif / jmotif-R
  SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)
  ☆54Updated 2 years ago
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆494Updated 3 months ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆110Updated 3 weeks ago